Streaming Engineer Salary in India - PayScale

DESCRIPTIONAmazon Prime team is building an evergreen platform that will provide real time insights of traffic, sales, deals, prime engagement and is looking for rock start data engineer to build this. At Amazon Prime, understanding customer data is paramount to our success in providing customers with relevant and enticing benefits such as fast free shipping, instant videos, streaming music and free Kindle books in the US and international markets. At Amazon you will be working in one of the world's largest and most complex data environments.You will be part of team that will work with the marketing, retail, finance, analytics, machine learning and technology teams to provide real time data processing solution that give Amazon leadership, marketers, PMs timely, flexible and structured access to customer insights. The team will be responsible for building this platform end to end using latest AWS technologies and software development principles.As a Data Engineer , you will be responsible for leading the architecture, design and development of the data, metrics and reporting platform for Prime. You will architect and implement new and automated Business Intelligence solutions, including big data and new analytical capabilities that support our Development Engineers, Analysts and Retail business stakeholders with timely, actionable data, metrics and reports while satisfying scalability, reliability, accuracy, performance and budget goals and driving automation and operational efficiencies. You will partner with business leaders to drive strategy and prioritize projects and feature sets. You will also write and review business cases and drive the development process from design to release. In addition, you will provide technical leadership and mentoring for a team of highly capable Data Engineers.Responsibilities1. Own design and execution of end to end projects2. Own managing WW Prime core services data infrastructure3. Establish key relationships which span Amazon business units and Business Intelligence teams4. Implement standardized, automated operational and quality control processes to deliver accurate and timely data and reporting to meet or exceed SLAsWe are open to hiring candidates to work out of one of the following locations:Bangalore, KA, INDBASIC QUALIFICATIONS- 3+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Experience with SQLPREFERRED QUALIFICATIONS- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)

DESCRIPTIONThe Amazon Ads Trust Tech org has an opportunity for you to be part of the team that work on some of the most exciting problems in Ad tech, software architecture design, and building highly scalable services. We build platform and solution for advertisers to reach Amazon customers on Amazon.com, across our other owned and operated product, on other high quality sites across the web, and on millions of Kindles, mobile devices and OTT streaming platform.Candidate for this position possess a sound understanding of computer science and a passion to make a profound impact for our millions of customers. You will have the opportunity to apply this passion by leveraging your technical skills in areas such as algorithms, object-oriented design, distributed systems, web development, front-end/back-end design, and more. You will also have the opportunity to collaborate with diverse business and technical partners to shape our technology to delivers billions of High quality Ads impression every day. We prefer candidates who can thrive in a fast paced, high energy and fun work environment where we deliver value incrementally and frequently. We value highly technical, hands-on, data driven engineers who know their subject matter deeply and are willing to learn new areas. Its still Day 1!QA Engineers test code at the user level, both manually and with automated tools. Our QA Engineers use black box, gray box, and white box testing techniques; they are able to understand software internals, debug problems using log files, and write automated tests and/or user-level test automation tools. Software QA Engineers work with Software Development Engineers to understand features and technical implementation. Software QA Engineers also work with groups such as Product Management, User Experience Design, and Customer Support to understand customer usage models and develop test plans and test suites that approximate real-world environments and regression tests. Software QA Engineers are also responsible for driving the software development process toward quality-centric methodologies.Key job responsibilities* Lead the testing of large-scale systems, create test plans, test cases, test harnesses and drive continuous improvements to the quality assurance processes* Test Automation and execution* Provide detailed bug reports and debug across multi tiered test and production environment* Communicate with engineering teams, partnering technical teams to gather requirements, and with management to provide regular detailed status reports on project progress* Provide test summary reports that communicate key quality indicators, risks, and mitigations to leadership* Estimate and communicate project timelines* Evaluate device functionality and create test strategies and test cases for Streaming TV devices, Mobile and other devicesWe are open to hiring candidates to work out of one of the following locations:Bangalore and Delhi Key job responsibilities- Participate in the full development life cycle, working within broadly defined parameters, including test plan execution and software quality needs.- Writing and executing test plans, designing and developing test tools, debugging and reporting code bugs and pushing quality upstream.- Own the delivery of an entire software development test suites and frameworks.- Management and execution of project plans and meeting delivery commitments.- Work closely with the technical leaders to develop the best technical design and approach for testing our functionality at scale.- Build software solutions where the problem is not well defined. You are capable of understanding the interaction between the components in a distributed system in order to ensure they are functioning properly.- Create and execute appropriate quality plans, project plans, test strategies and processes for development activities in concert with business and project management efforts.We are open to hiring candidates to work out of one of the following locations:Bangalore, KA, IND | Gurgaon, INDBASIC QUALIFICATIONS- 4+ years of quality assurance engineering experience- Experience in manual testing- Experience scripting or coding- Experience in automation testing- Experience as QA lead on medium to large sized projects- Experience testing mobile and web applications with Java and JavaScript- Experience with Android, iOS or other mobile application development or testing- Experience working closely with development and business teams to communicate problem impacts and to understand business requirementsPREFERRED QUALIFICATIONS- Experience with at least one automated test framework like Selenium or Appium- Experience in gathering test requirements to create detailed test plans and defining quality metrics to measure product quality- Experience with performance and scalability testing

Job ID: Required Travel :MinimalManagerial : NoLocation: :India: Pune (Amdocs Site)Who are we?Amdocs helps those who build the future to make it amazing. With our market:leading portfolio of software products and services, we unlock our customers' innovative potential, empowering them to provide next:generation communication and media experiences for both the individual end user and enterprise customers. Our approximately 30,000 employees around the globe are here to accelerate service providers' migration to the cloud, enable them to differentiate in the 5G era, and digitalize and automate their operations. Listed on the NASDAQ Global Select Market, Amdocs had revenue of 4.89 billion in fiscal 2023.In one sentenceImmerse yourself in the design, development, modification, debugging and maintenance of our clients software systems Engage with specific modules, applications or technologies, and look after sophisticated assignments during the software development process.What will your job look like?:Contribute to and support the automation of multiple parts of infrastructure and deployment systems, strive to improve and shorten processes to enable engineering and operations teams to work smarter and faster:Collaborate with related Product/Account Development teams to drive automation of Configuration Management, Build, Release, Deployment and Monitoring processes, including instruction for the team on the developed tools:Work with IT and Development to create integration and continuity of the code, demonstrating a holistic view of the working environments:Support engineering and operations teams in meeting infrastructure needs:Provide professional support for the developed automations, respond to incidents to proactively prevent system outages and ensure environments availability to meet SLAs:Participate in the integration between Product/Account infrastructure system and non:Amdocs infrastructure systems:Stay up:to:date in industry best practices and contribute ideas for improvements in DevOps practices:Contribute to innovation through automation to enable standard deployable units of infrastructure through multiple environments until production:Adopt and implement new technology in account/product life cycleAll you need is...PFB core DevOps competencies and skillsets, that we are looking for DevOps Engineer position ::Docker expert, Kubernetes, Jenkins , Mavens , Linux, Kafka/ Streams , Cloud : AWS/ Azure, Amdocs DevOps certified (if in:house) , Java Fundamentals:Must to have :- Kubernetes , Argo:CD- Jenkins , Maven , Git/Bitbucket- Docker, Ansible , OCP- CI:CD Automations- Kafka/Streaming:Good to have :- Cloud ( AWS / Azure etc) , VMwavre Tanzu- Java Fundamentals , Python , GoLang- Amdocs Products : TC ( Turbo charging ) and Mediations- International Certifications : CKA ( Kubernetes Certified Administrator ) , RedHat OpenShift / RHCE ( Redhat certified Engineer ) .Why you will love this job::You will be responsible for the integration between a major product infrastructure system and the Amdocs infrastructure system, driving automation helping teams work smarter and faster.:Be a key member of an international, highly skilled and encouraging team with various possibilities for personal and professional development:You will have the opportunity to work in multinational environment for the global market leader in its field.:We are a dynamic, multi:cultural organization that constantly innovates and empowers our employees to grow. Our people our passionate, daring, and phenomenal teammates that stand by each other with a dedication to creating a diverse, inclusive workplace:We offer a wide range of stellar benefits including health, dental, vision, and life insurance as well as paid time off, sick time, and parental leaveAmdocs is an equal opportunity employer. We

- Experience in implementing data storage solutions, managing, and developing data processing, and optimizing data solutions (Azure). - Expertise in integrating, transforming, and consolidating data from structured and semi:structured data systems suitable for analytics solutions. - Hands:on experience in integrating event based or streaming data into an existing data model. - Consuming stream payloads using Azure Service Bus. - Engaging with business users to gather requirements, design visualizations, and provide training to use self:service BI tools. - Developing conceptual solutions and create proof:of:concepts to demonstrate viability of solutions. - Architecting and implementing medium to large scale BI solutions on Azure using Azure Data Platform services (Azure Data Lake, Data Factory, Data Lake Analytics, Stream Analytics, Azure SQL DW, HDInsight/Databricks, NoSQL DB). - Estimating the cluster size, monitoring, and troubleshooting of the Spark data bricks cluster. - Experience in solving business problems using SQL. - Experience in the financial services industry and experience managing teams in technology consulting. - Experience in the following next gen tools and technologies: Hadoop, HIVE, Databricks, Python, Spark, Kafka, Dremio, Azure Platform, NoSQL, HBase, Snowflake. - Experience in Data Management and Data Governance. - Experience in data sourcing, data warehousing implementation, data management and Data:Sourcing ETL. - Experience in data quality and designing and implementing end:to:end data controls.- Experience in Events integration into a data modelPrimary Skills: Azure Databricks, Azure Service Bus, PySpark, SQL

DESCRIPTIONAmazon Web Services is the market leader and technology forerunner in the Cloud business. As a member of the AWS Support team in Amazon Web services, you will be at the forefront of this transformational technology, assisting a global list of companies and developers that are taking advantage of a growing set of services and features to run their mission-critical applications. As a Cloud Support Engineer in Amazon Web services. You will act as the ‘Cloud Ambassador’ across all the cloud products, arming our customers with required tools & tactics to get the most out of their Product and Support investment.Would you like to use the latest cloud computing technologies? Do you have an interest in helping customers understand application architectures and integration approaches? Are you familiar with best practices for applications, servers and networks? Do you want to be part of a customer facing technology team helping to ensure the success of Amazon Web Services (AWS) as a leading technology organization?If you fit the description, you might be the person we are looking for! We are a team that is passionate about cloud computing, and believe that world class support is critical to customer success.Key job responsibilities• Learn and use ground breaking technologies.• Apply advanced troubleshooting techniques to provide unique solutions to our customers' individual needs.• Interact with leading engineers around the world.• Partner with AWS teams to help reproduce and resolve customer issues.• Leverage your extensive customer support experience to provide feedback to internal AWS teams on how to improve our services.• Drive customer communication during critical events.• Drive projects that improve support-related processes and our customers’ technical support experience.• Write tutorials, how-to videos, and other technical articles for the developer community.• Work on critical, highly complex customer problems that may span multiple AWS services.About the teamFirst and foremost this is a customer support role – in The Cloud.• On a typical day, a Support Engineer will be primarily responsible for solving customer’s cases through a variety of customer contact channels which include telephone, email, and web/live chat. You will apply advanced troubleshooting techniques to provide tailored solutions for our customers and drive customer interactions by thoughtfully working with customers to dive deep into the root cause of an issue.• Apart from working on a broad spectrum of technical issues, an AWS Support Engineer may also coach/mentor new hires, develop & present training, partner with development teams on complex issues or contact deflection initiatives, participate in new hiring, write tools/script to help the team, or work with leadership on process improvement and strategic initiatives to ensure better customer experience and compliance with global AWS standards, practices and policies.• Career development: We promote advancement opportunities across the organization to help you meet your career goals.• Training: We have training programs to help you develop the skills required to be successful in your role.• We support engineers who are keen to build a career with AWS, so we are more interested in the areas that you do know instead of those you haven’t been exposed to yet.• Support engineers interested in travel have presented training or participated in focused summits across our sites or at specific AWS events.As we operate on a follow-the-sun model, with AWS Support Engineering sites located globally, there is no after hours on-call or mandated overtime in this role.· AWS Support Engineering is 24/7/365 operations and shift work will be required in afternoon i.e. 1 PM to 10 PM IST https://www.youtube.com/watch?v=GC3bWcFFZTo&t=24sThis role supports our services that focus on distributed, cloud infrastructure of AWS S3 storage, Cloudfront, Storage Gateway, Glacier, Simple Email Service, Snowball, AWS Elemental Media Services (Video streaming, Transcoding and storage solutions), Kinesis Video Streams, Elastic Transcoder, AWS Transfer for SFTP, Datasync and AWS Backup. Our support engineers are also the “voice of the customer” and have a strong voice in to the development teams for recurring issues or feature requests.We are open to hiring candidates to work out of one of the following locations:Bangalore, KA, INDBASIC QUALIFICATIONS- Bachelor’s degree OR equivalent experience in a technical position.- Requires minimum of 2+ yrs experience in relevant technical position.- Strong understanding of networking protocols: DNS, HTTP, SSL, SFTP, TCP and UDP.- Experience with web-based services and applications, Apache, Tomcat etc. Knowledge of client/server and distributed systems architectures.- Strong Unix/Linux or Windows system administration skills.- Knowledge of filesystem, block and object storage.- Knowledge of Storage architectures and backup/DR strategies- Experience operating and troubleshooting email services and SMTP.PREFERRED QUALIFICATIONS- Understanding of Content Delivery Networks- Experience troubleshooting filesystem, block and object storage- Experience with scripting (i.e. bash, Python, PowerShell etc.)- Detailed knowledge of storage protocols: iSCSI, NFS, SMB- Expertise with network troubleshooting and tools e.g. iperf, MTR, traceroute, dig, Understanding of streaming video (H264, MP4, WEBM, HLS, Smooth Streaming)- Understanding of video compression & Delivery (Codecs & Containers, Streaming Protocols)- Prior working experience with AWS e.g. AWS S3 storage, Cloudfront, Storage Gateway, Glacier, Simple Email Service, Snowball, AWS Elemental Media Services, Kinesis Video Streams, Elastic Transcoder, AWS Transfer for SFTP, Datasync and AWS Backup.- Experience with Cloud architecture patterns and distributed computing concepts- Messaging and Queueing experience- Experience working with REST API based services- Exposure to OS and networking security concepts and standard methodologies

DESCRIPTIONAmazon Music is awash in data! To help make sense of it all, the DISCO (Data, Insights, Science & Optimization) team: (i) enables the Consumer Product Tech org make data driven decisions that improve the customer retention, engagement and experience on Amazon Music. We build and maintain automated self-service data solutions, data science models and deep dive difficult questions that provide actionable insights. We also enable measurement, personalization and experimentation by operating key data programs ranging from attribution pipelines, northstar weblabs metrics to causal frameworks. (ii) delivering exceptional Analytics & Science infrastructure for DISCO teams, fostering a data-driven approach to insights and decision making. As platform builders, we are committed to constructing flexible, reliable, and scalable solutions to empower our customers. (iii) accelerates and facilitates content analytics and provides independence to generate valuable insights in a fast, agile, and accurate way. This domain provides analytical support for the Consumer Product Tech org to make data driven decisions while launching new features and evaluating existing features with the end goal of improving the customer experience. DISCO team enables repeatable, easy, in depth analysis of music customer behaviors. We reduce the cost in time and effort of analysis, data set building, model building, and user segmentation. Our goal is to empower all teams at Amazon Music to make data driven decisions and effectively measure their results by providing high quality, high availability data, and democratized data access through self-service tools.If you love the challenges that come with big data then this role is for you. We collect billions of events a day, manage petabyte scale data on Redshift and S3, and develop data pipelines using Spark/Scala EMR, SQL based ETL, Airflow services.We are looking for talented, enthusiastic, and detail-oriented Data Engineer, who knows how to take on big data challenges in an agile way. Duties include big data design and analysis, data modeling, and development, deployment, and operations of big data pipelines. You'll help build Amazon Music's most important data pipelines and data sets, and expand self-service data knowledge and capabilities through an Amazon Music data university.DISCO team develops data specifically for a set of key business domains like personalization and marketing and provides and protects a robust self-service core data experience for all internal customers. We deal in AWS technologies like Redshift, S3, EMR, EC2, DynamoDB, Kinesis Firehose, and Lambda. Your team will manage the data exchange store (Data Lake) and EMR/Spark processing layer using Airflow as orchestrator. You'll build our data university and partner with Product, Marketing, BI, and ML teams to build new behavioural events, pipelines, datasets, models, and reporting to support their initiatives. You'll also continue to develop big data pipelines.Key job responsibilitiesYou will work with Product Managers, Data scientists and other Data Engineers to help design, develop and deliver scalable data analytics platform and data pipeline solutions to support various Science, ML initiatives and at the scale and speed of Amazon Music. In addition, you will help design, develop, and deliver components for the analytics platform at the broader org level and streamline/automate workflows for the broader DISCO organization. What You’ll Do:-Collaborate with cross-functional teams, including data scientists, data scientists, business intelligence engineers, to design and architect a modern data analytics platform on AWS, utilizing the AWS Cloud Development Kit (CDK).-Develop robust and scalable data pipelines using SQL/PySpark/Airflow to efficiently ingest, process, and transform large volumes of data from various sources into a structured format, ensuring data quality and integrity.-Design and implement an efficient and scalable data warehousing solution on AWS, using appropriate NoSQL/SQL storage and database technologies for structured and unstructured data.-Automate ETL/ELT processes to streamline data integration from diverse data sources and ensure the platform's reliability and efficiency. -Create data models to support business intelligence, providing actionable insights and interactive reports to end-users.-Enable advanced analytics and machine learning capabilities within the platform to derive predictive and prescriptive insights from the data through tools like EMR/SageMaker Notebooks-Continuously monitor and optimize the performance of data pipelines, databases, and applications, ensuring low-latency data access for analytics and machine learning tasks.-Implement robust security measures and ensure data compliance with internal requirements, industry standards, and regulations to safeguard sensitive information.-Work closely with data scientists and business intelligence engineers to understand their requirements and collaborate on data-related projects.-Create comprehensive technical documentation for the platform's architecture, data models, and APIs to facilitate knowledge sharing and maintainability.About the teamAmazon Music is an immersive audio entertainment service that deepens connections between fans, artists, and creators. From personalized music playlists to exclusive podcasts, concert livestreams to artist merch, Amazon Music is innovating at some of the most exciting intersections of music and culture. We offer experiences that serve all listeners with our different tiers of service: Prime members get access to all the music in shuffle mode, and top ad-free podcasts, included with their membership; customers can upgrade to Amazon Music Unlimited for unlimited, on-demand access to 100 million songs, including millions in HD, Ultra HD, and spatial audio; and anyone can listen for free by downloading the Amazon Music app or via Alexa-enabled devices. Join us for the opportunity to influence how Amazon Music engages fans, artists, and creators on a global scale.We are open to hiring candidates to work out of one of the following locations:Bangalore, KA, INDBASIC QUALIFICATIONS- Experience with data modeling, warehousing and building ETL pipelines- 3+ years of data engineering experience- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Bachelor's degree in Computer Science, Data Science, or a related field.- Experience working with Amazon Web Services (AWS) and proficiency in leveraging various AWS services for data storage, processing, and analytics.- Solid programming skills in SQL for ETL/ELT jobs.- Strong programming skills in Python for data processing, ETL, and scripting tasks.- Familiarity with big data technologies such as Apache Spark, Apache Hadoop, or AWS Elastic MapReduce (EMR).- Solid understanding of database management systems, both relational and NoSQL, and expertise in query optimization and database performance tuning.- Excellent problem-solving and analytical skills with the ability to resolve complex data engineering challenges.- Strong communication and collaboration skills, with a demonstrated ability to work effectively in a team-oriented environment.- Experience in Unix- Experience in Troubleshooting the issues related to Data and Infrastructure issues.PREFERRED QUALIFICATIONS- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS- Knowledge of batch and streaming data architectures like Kafka, Kinesis, Flink, Storm, Beam- Knowledge of distributed systems as it pertains to data storage and computing- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR- Experience in building or administering reporting/analytics platforms- Master's degree in Computer Science, Data Science, or a related field.- Minimum of 5+ years of professional experience in data engineering roles, with a strong track record of building data analytics platforms.- Extensive experience working with Amazon Web Services (AWS) and proficiency in leveraging various AWS services for data storage, processing, and analytics.- Hands-on experience with AWS Cloud Development Kit (CDK) and Typescript to build infrastructure as code (IaC) for AWS resources.- Familiarity with big data technologies such as Apache Spark, Apache Hadoop, or AWS Elastic MapReduce (EMR).- Solid understanding of database management systems, both relational and NoSQL, and expertise in query optimization and database performance tuning.- Proficiency in data modeling and designing efficient data structures for analytical workloads.- Experience with CI/CD pipelines and a strong DevOps mindset to ensure continuous integration and delivery.- Excellent problem-solving and analytical skills with the ability to resolve complex data engineering challenges.- Strong communication and collaboration skills, with a demonstrated ability to work effectively in a team-oriented environment.

Senior Platform Reliability EngineerJob no: 503988 Work type: Contract Full Time Location: Various Categories: IT/Technology ABOUT THE ABC The ABC is the nation's most trusted and independent source of Australian conversations, culture, and stories. With over 4,000 employees from diverse backgrounds across over 50 locations around Australia and overseas, we are proud to create, curate and deliver high-quality content that informs, educates and entertains Australian communities. ABOUT THE ROLE Provide technical leadership and mentoring to ensure reliability for one of Australia's largest streaming organisations through the continuous monitoring and maintenance of Digital Product platforms and services, in line with the ABC Digital Strategy. KEY ACCOUNTABILITIES Provide exceptional operational support to users of the ABC digital product systems, including content distribution and publishing systems, mobile and streaming media services. Provide technical leadership in the implementation of infrastructure and services for the delivery of ABC content on digital platforms including web, mobile and streaming media. Lead the improvement of system reliability and quality through m onitoring , reporting and fault resolution on supported platforms. P roactive ly identify opportunities to improve efficiency by automating existing processes. Maintain detailed technical knowledge of digital systems and services, including an understanding of business usage. Lead the development and maintenance of technical standards and support documentation. ABOUT YOU Highly advanced problem-solving skills including the ability to investigate, diagnose and solve very complex web content and streaming media delivery problems. Demonstrated experience in supporting the online delivery of content and applications including content management systems, search engines, message boards and other web site services. Extensive experience in the support of cloud-based services including Amazon Web Services (AWS) based platforms. Previous experience in supporting Linux based environments is highly desirable. Extensive e xperience with common cloud operations tools including Datadog, Puppet, New Relic, JIRA, Confluence, Bam boo, Maven or Jenkins is highly desirable. Experience supporting and managing products delivered by CDN services such as Akamai for the delivery of streaming media and web assets. Highly advanced communication skills with proven ability to communicate effectively with stakeholders at different levels in an Agile team environment. WHAT'S IN IT FOR YOU? Come and join the vibrant Digital Product department in the ABC. Our mission is to enable ABC's digital future, where ABC transitions from a traditional broadcaster to Australia's most trusted and valued digital media organisation . Through harnessing our talents in digital, collaborating with our partners and delivering beyond expectations, we ensure the ABC not just remains relevant but thrives. As a group of product and platform teams, we develop and maintain the ABC's audience facing digital products across mobile, connected TV, desktop, and smart speakers. Whether it is staying informed of the latest breaking news, bringing some great TV on iview , streaming the Hottest 100 on the triple j app and website, or entertaining the kids with our ABC Kids app - the ABC's Digital Product offerings are some of Australia's most loved and most used platforms. Your work will be appreciated by millions of audiences across Australia. We are an AWS shop; you will have the opportunity to work on the latest and greatest cloud technology. You will have the chance to contribute to the solution architecture of our systems. We are an open and cohesive team where your voice will not get lost. You can get a sneak peek into our product engineering world through our blog: We are committed to career development and invest in our people to grow and become leaders in their fields. Everyone in the Digital Product department has a designated budget for training and development. We believe in flexible approaches to working and building self- organising and collaborative teams that offer friendly and supportive environments in which all team members can strive and grow. For further information on this position please contact Brett Whyte, Digital Talent Acquisition Lead via email We are unable to accept email applications, please ensure that you submit your application via the online portal. We respectfully request that Recruitment Agencies do not submit applications for this position. In line with our focus on diversity, applications are strongly encouraged from Indigenous Australians, people from a range of cultural and linguistic backgrounds, people with disability and LGBTIQA+ individuals. The ABC also aims to achieve a gender-balanced workforce. For more information on inclusive employee networks within the ABC please refer to on ABC LinkedIn. For more information on working at the ABC visit Advertised: 17 Apr 2024 11:20 AM AUS Eastern Standard Time Applications close: 15 May 2024 5:00 PM AUS Eastern Standard TimeSalary: . Date posted: 04/17/2024 10:04 AM

Every great story has a new beginning, and yours starts here. Welcome to Warner Bros. Discovery... the stuff dreams are made of. Who We Are... When we say, "the stuff dreams are made of," we're not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD's vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what's next...From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive. Sr Staff Data Engineer - Hyderabad, India . About Warner Bros. Discovery: Warner Bros. Discovery, a premier global media and entertainment company, offers audiences the world's most differentiated and complete portfolio of content, brands and franchises across television, film, streaming and gaming. The new company combines Warner Media's premium entertainment, sports and news assets with Discovery's leading non-fiction and international entertainment and sports businesses.For more information, please visit www.wbd.com . Meet our team: The Data & Analytics organization is at the forefront of developing and maintaining frameworks, tools, and data products vital to WBD, including flagship streaming product Max and non-streaming products such as Films Group, Sports, News and overall WBD eco-system. Our mission is to foster unified analytics and drive data-driven use cases by leveraging a robust multi-tenant platform and semantic layer. We are committed to delivering innovative solutions that empower teams across the company to catalyze subscriber growth, amplify engagement, and execute timely, informed decisions, ensuring our continued success in an ever-evolving digital landscape. Roles & Responsibilities: We are looking for a highly motivated Sr Staff Data Engineer to build a state-of-the-art data platform to solve various data-driven use cases across the organization. This platform will host various data products such as but not limited to, Subscription, Content, and Product Analytics, Personalization and Recommendation, Marketing & Ad-Sales enablement. You will be charged with building a new core data platform in the cloud - handles both streaming and batch data processing, capable of solving any big data initiatives in scope now or evolve in future as well. You will be helping data engineers, analysts, and scientists perform their functions by building highly scalable capabilities across the platform.This individual will bring in his/her expertise in a wide variety of big data processing frameworks (both open source and proprietary), large scale database systems (OLAP and OLTP), stream data processing, API Development, Machine learning operationalization, and cloud automation to build and support all the data needs across our platform.Take lead role in translating various business requirements in to engineering architecture.Build software across our entire cutting-edge data platform, including event driven data processing, storage, and serving through scalable and highly available APIs, with cutting-edge technologies.Change how we think, act, and utilize our data by performing exploratory and quantitative analytics, data mining, and discovery.Think of new ways to help make our data platform more scalable, resilient and reliable and then work across our team to put your ideas into action.Work closely with data analysts and business stake holders to make data easily accessible and understandable to them.Ensure data quality by implementing re-usable data quality frameworks.Develop and enforce data engineering, security, data quality standards through automation.Participate in supporting the platform 24X7.Be passionate about growing team - hire and mentor engineers and analysts.Be responsible for cloud cost and improving efficiency. What to Bring : Bachelor's degree in computer science or similar discipline15+ years of experience in software engineering and/or data engineeringAbility and willingness to learn any new technologies and apply them at work in order to stay ahead of the curve.Expertise in at least few programming languages - Java, Scala, Python or similar.Expertise in building and managing large volume data processing (both streaming and batch) platform is a must.Expertise in stream processing systems such as Kafka, Kinesis, Pulsar or SimilarExpertise in distributed data processing frameworks such as Apache Spark, Flink or similar.Expertise in SQL and No-SQL - Apache Cassandra, DynamoDB, MySQLExpertise in OLAP databases such as Snowflake or Redshift.Experience in operationalizing and scaling machine models is a huge plus.Experience with variety of data Tools & frameworks (example: Apache Airflow, Druid) will be a huge plus.Experience with Analytics Tools such as Looker, Tableau is preferred.Cloud (AWS) experience is preferredDirect to consumer digital business experience is preferredStrong interpersonal, communication and presentation skills. How We Get Things Done... This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview. The Legal Bits... Warner Bros. Discovery embraces the opportunity to build a workforce that reflects the diversity of our society and the world around us. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law.If you're a qualified candidate and you require adjustments or accommodations to search for a job opening or apply for a position, please contact us at [email protected]: . Date posted: 04/17/2024 07:15 AM

Every great story has a new beginning, and yours starts here. Welcome to Warner Bros. Discovery... the stuff dreams are made of. Who We Are... When we say, "the stuff dreams are made of," we're not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD's vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what's next...From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive. Principal Analytics Engineer - Hyderabad, India . About Warner Bros. Discovery: Warner Bros. Discovery, a premier global media and entertainment company, offers audiences the world's most differentiated and complete portfolio of content, brands and franchises across television, film, streaming and gaming. The new company combines Warner Media's premium entertainment, sports and news assets with Discovery's leading non-fiction and international entertainment and sports businesses.For more information, please visit www.wbd.com . Meet our team: The Data & Analytics organization is at the forefront of developing and maintaining frameworks, tools, and data products vital to WBD, including flagship streaming product Max and non-streaming products such as Films Group, Sports, News and overall WBD eco-system. Our mission is to foster unified analytics and drive data-driven use cases by leveraging a robust multi-tenant platform and semantic layer. We are committed to delivering innovative solutions that empower teams across the company to catalyze subscriber growth, amplify engagement, and execute timely, informed decisions, ensuring our continued success in an ever-evolving digital landscape. Roles & Responsibilities: As a Principal Analytics Engineer, you will champion overall data and analytics strategy across for various streaming and non-streaming data domains including but not limited to commerce, product, content analytics . You will bring in your expertise in a wide variety of big data processing frameworks, large scale database systems, stream data processing data mart development, BI/Analytics, API Development, to improve data architecture and data product development efficiency.Work closely with higher management, business, and product stakeholders to understand BI & AI driven analytics needs; create data strategy, architecture, and roadmap.Work closely with data & analytics team to architect various data products which include data marts, data semantic layer, analytics, and third-party system integrations.Assist in the preparation of presentations and formal analysis in support of executive decision making and strategy development.Promote a culture of experimentation and data-driven innovation. Inspire and motivate through internal and external presentations and other speaking opportunities.Assist in hiring, mentoring, and coaching engineers. Help build an engineering team that prioritizes empathy, diversity, and inclusion.Take on the responsibility for the platform's 24x7 support availability and oversee budgetary concerns, including cloud expenditure. What to Bring : Bachelor's degree, MS or greater in a quantitative field of study (Computer/Data Science, Engineering, Mathematics, Statistics, etc.)16+ years of relevant experience in business intelligence/data engineering.Prior experience and deep domain knowledge in Direct-to-Consumer Business based products is critical.Expertise in at least few programming languages - Scala, Python or similar.Expertise in SQL.Expertise in OLAP databases such as Delta Lake, Snowflake, Redshift.Expertise with Analytics Tools such as Looker, Tableau or similar.Experience in AI driven data analytics is a huge plus.Strong interpersonal, communication and presentation skills. How We Get Things Done... This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview. The Legal Bits... Warner Bros. Discovery embraces the opportunity to build a workforce that reflects the diversity of our society and the world around us. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law.If you're a qualified candidate and you require adjustments or accommodations to search for a job opening or apply for a position, please contact us at [email protected]: . Date posted: 04/17/2024 07:15 AM

Every great story has a new beginning, and yours starts here. Welcome to Warner Bros. Discovery... the stuff dreams are made of. Who We Are... When we say, "the stuff dreams are made of," we're not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD's vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what's next... From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive. Sr Staff Data Engineer - Hyderabad, India . About Warner Bros. Discovery: Warner Bros. Discovery, a premier global media and entertainment company, offers audiences the world's most differentiated and complete portfolio of content, brands and franchises across television, film, streaming and gaming. The new company combines Warner Media's premium entertainment, sports and news assets with Discovery's leading non-fiction and international entertainment and sports businesses. For more information, please visit www.wbd.com . Meet our team: The Data & Analytics organization is at the forefront of developing and maintaining frameworks, tools, and data products vital to WBD, including flagship streaming product Max and non-streaming products such as Films Group, Sports, News and overall WBD eco-system. Our mission is to foster unified analytics and drive data-driven use cases by leveraging a robust multi-tenant platform and semantic layer. We are committed to delivering innovative solutions that empower teams across the company to catalyze subscriber growth, amplify engagement, and execute timely, informed decisions, ensuring our continued success in an ever-evolving digital landscape. Roles & Responsibilities: We are looking for a highly motivated Sr Staff Data Engineer to build a state-of-the-art data platform to solve various data-driven use cases across the organization. This platform will host various data products such as but not limited to, Subscription, Content, and Product Analytics, Personalization and Recommendation, Marketing & Ad-Sales enablement. You will be charged with building a new core data platform in the cloud - handles both streaming and batch data processing, capable of solving any big data initiatives in scope now or evolve in future as well. You will be helping data engineers, analysts, and scientists perform their functions by building highly scalable capabilities across the platform.This individual will bring in his/her expertise in a wide variety of big data processing frameworks (both open source and proprietary), large scale database systems (OLAP and OLTP), stream data processing, API Development, Machine learning operationalization, and cloud automation to build and support all the data needs across our platform.Take lead role in translating various business requirements in to engineering architecture.Build software across our entire cutting-edge data platform, including event driven data processing, storage, and serving through scalable and highly available APIs, with cutting-edge technologies.Change how we think, act, and utilize our data by performing exploratory and quantitative analytics, data mining, and discovery.Think of new ways to help make our data platform more scalable, resilient and reliable and then work across our team to put your ideas into action.Work closely with data analysts and business stake holders to make data easily accessible and understandable to them.Ensure data quality by implementing re-usable data quality frameworks.Develop and enforce data engineering, security, data quality standards through automation.Participate in supporting the platform 24X7.Be passionate about growing team - hire and mentor engineers and analysts.Be responsible for cloud cost and improving efficiency. What to Bring : Bachelor's degree in computer science or similar discipline15+ years of experience in software engineering and/or data engineeringAbility and willingness to learn any new technologies and apply them at work in order to stay ahead of the curve.Expertise in at least few programming languages - Java, Scala, Python or similar.Expertise in building and managing large volume data processing (both streaming and batch) platform is a must.Expertise in stream processing systems such as Kafka, Kinesis, Pulsar or SimilarExpertise in distributed data processing frameworks such as Apache Spark, Flink or similar.Expertise in SQL and No-SQL - Apache Cassandra, DynamoDB, MySQLExpertise in OLAP databases such as Snowflake or Redshift.Experience in operationalizing and scaling machine models is a huge plus.Experience with variety of data Tools & frameworks (example: Apache Airflow, Druid) will be a huge plus.Experience with Analytics Tools such as Looker, Tableau is preferred.Cloud (AWS) experience is preferredDirect to consumer digital business experience is preferredStrong interpersonal, communication and presentation skills. How We Get Things Done... This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview. The Legal Bits... Warner Bros. Discovery embraces the opportunity to build a workforce that reflects the diversity of our society and the world around us. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law.If you're a qualified candidate and you require adjustments or accommodations to search for a job opening or apply for a position, please contact us at [email protected]: . Date posted: 04/16/2024 05:11 PM