DESCRIPTIONAmazon’s Retail Business Services, Analytics team is looking for a Business Intelligence Engineer to help build the next generation of analytics solutions. This is an opportunity to get in on the ground floor as we transform from a reactive, request-directed team to a proactive, roadmap-driven organization that accelerates the business. Working closely with the business teams, analytics teams, you will simplify and scale our data and infrastructure, developing and owning canonical data sets for the business. Utilizing the latest AWS technologies, you will help to implement engineering best practices, set technical standards, and hold a high bar for operational excellence. This is a highly visible role, with regular access to principal engineers and other senior business and technology leaders. You will be a key influencer on the team, providing input on priorities, technical designs, and technology decisions with a focus on scalable, maintainable and efficient systems and processes. You will understand and anticipate stakeholder needs, thinking big when recommending solutions. You will be comfortable navigating an ambiguous environment, knowing how to confirm and reconfirm assumptions. You will advise leaders and stakeholders on project milestones and associated prioritization.Key job responsibilities• Design, development and ongoing operations of scalable, performant data warehouse (Redshift) tables, data pipelines, reports and dashboards. • Development of moderately to highly complex data processing jobs using appropriate technologies (e.g. SQL, Python, Spark, AWS Lambda, etc.)• Development of dashboards and reports. • Collaborating with stakeholders to understand business domains, requirements, and expectations. Additionally, working with owners of data source systems to understand capabilities and limitations. • Deliver minimally to moderately complex data analysis; collaborating as needed with Data Science as complexity increases. • Actively manage the timeline and deliverables of projects, anticipate risks and resolve issues.• Adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.We are open to hiring candidates to work out of one of the following locations:Bangalore, KA, IND | Chennai, TN, INDBASIC QUALIFICATIONS- 5+ years of relevant professional experience in business intelligence, analytics, statistics, data engineering, data science or related field.- Experience with Data modeling, SQL, ETL, Data Warehousing and Data Lakes.- Strong experience with engineering and operations best practices (version control, data quality/testing, monitoring, etc.)- Expert-level SQL.- Proficiency with one or more general purpose programming languages (e.g. Python, Java, Scala, etc.)- Knowledge of AWS products such as Redshift, Quicksight, and Lambda.- Excellent verbal/written communication & data presentation skills, including ability to succinctly summarize key findings and effectively communicate with both business and technical teams.PREFERRED QUALIFICATIONS- Experience with data-specific programming languages/packages such as R or Python Pandas.- Experience with AWS solutions such as EC2, DynamoDB, S3, and EMR.- Knowledge of machine learning techniques and concepts.

Data Engineer I

Amazon, Chennai, Tennessee

BASIC QUALIFICATIONS- 2+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Experience with SQL- Experience with one or more scripting language (e.g., Python, KornShell)- Experience in Unix- Experience in Troubleshooting the issues related to Data and Infrastructure issues.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 below topics within Amazon Music: Programming / Label Relations / PR / Stations / Livesports / Originals / Case & CAM. 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 and Java 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 responsibilities• Deep understanding of data, analytical techniques, and how to connect insights to the business, and you have practical experience in insisting on highest standards on operations in ETL and big data pipelines. With our Amazon Music Unlimited and Prime Music services, and our top music provider spot on the Alexa platform, providing high quality, high availability data to our internal customers is critical to our customer experiences. • Assist the DISCO team with management of our existing environment that consists of Redshift and SQL based pipelines. The activities around these systems will be well defined via standard operation procedures (SOP) and typically involve approving data access requests, subscribing or adding new data to the environment• SQL data pipeline management (creating or updating existing pipelines)• Perform maintenance tasks on the Redshift cluster. • Assist the team with the management of our next-generation AWS infrastructure. Tasks includes infrastructure monitoring via CloudWatch alarms, infrastructure maintenance through code changes or enhancements, and troubleshooting/root cause analysis infrastructure issues that arise, and in some cases this resource may also be asked to submit code changes based on infrastructure issues that arise.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,we are 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 music in shuffle mode,and top ad-free podcasts,included with their membership;customers can upgrade to Music Unlimited for unlimited on-demand access to 100 million songs including millions in HD,Ultra HD,spatial audio and anyone can listen for free by downloading Amazon Music app or via Alexa-enabled devices.Join us for 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:Chennai, TN, INDPREFERRED QUALIFICATIONS- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR- Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.- Knowledge of distributed systems as it pertains to data storage and computing- Experience in building or administering reporting/analytics platformsSalary: . Date posted: 04/06/2024 09:26 AM

Business Intelligence Engineer I

Amazon, Chennai, Tennessee

BASIC QUALIFICATIONS- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with scripting language (e.g., Python, Java, or R)- Knowledge of data modeling and data pipeline design- Experience gathering business requirements, using industry standard business intelligence tool(s) to extract data, formulate metrics and build reports- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field- Knowledge of AWS products such as Redshift, Quicksight, and Lambda.- Excellent verbal/written communication & data presentation skills, including ability to succinctly summarize key findings and effectively communicate with both business and technical teams.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 below topics within Amazon Music: Programming / Label Relations / PR / Stations / Livesports / Originals / Case & CAM. 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 and Java services.We are looking for talented, enthusiastic, and detail-oriented Business Intelligence 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 responsibilities• Design, development and ongoing operations of scalable, performant data warehouse (Redshift) tables, data pipelines, reports, dashboards and data transformation strategies to manage a large volume of data.• Development of moderately to highly complex data processing jobs using appropriate technologies (e.g. SQL, Python, Spark, AWS Lambda, etc.)• Development of dashboards and reports.• Collaborate with internal stakeholders to understand business requirements and provide data driven solutions.• Develop complex SQL queries and optimize performance of SQL queries on large data.• Build and manage dashboards, scorecards, and other data visualization using BI tools such as Tableau, Power BI, or AWS Quicksight.• Monitor Tableau and QS dashboards to ensure latest data is available, address any technical issues in dashboard refresh (fixing failed jobs, re-running jobs/pipelines, tracking upstream dependencies), coordinate to resolve technical issues, inform Stakeholders in case of any unavoidable delays, enhancing existing dashboards based on low-level specifications.• Conduct thorough data analysis and troubleshoot data integrity issues, providing gap analysis and business solutions.• Actively manage the timeline and deliverables of projects, anticipate risks and resolve issues.• Adopt Business Intelligence best practices in reporting and analysis.• Monitor WBR jobs, address any issues (fixing failed jobs, re-running jobs/scripts, tracking upstream dependencies) co-ordinate for any technical issues, and gathering inputs to update commentary for the metric fluctuations.• Repeating an existing analysis for new scenarios (geographies, tier, device types) based on existing analyses, pulling datasets using low-level specifications• Monitoring Datanet & Cradle based pipelines and data pipelines that feed metrics into APT (Weblab Analysis Tool) to address failures & delays, coordinate for resolution of technical issues, creating & monitoring alarms/checks on the pipelines for tracking delays & ensuring data quality, creating pipelines (or updating existing pipelines) based on low-level specifications and running & monitoring back-fill jobs to generate historical datasets based on already existing pipeline jobs, Coordinating with APT team to onboard (or update) APT metrics.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,we are 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 music in shuffle mode,and top ad-free podcasts,included with their membership;customers can upgrade to Music Unlimited for unlimited on-demand access to 100 million songs including millions in HD,Ultra HD,spatial audio and anyone can listen for free by downloading Amazon Music app or via Alexa-enabled devices.Join us for 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:Chennai, TN, INDPREFERRED QUALIFICATIONS- Experience in the data/BI space- Experience with building and maintain basic data artifacts (e.g. ETL, data models, queries)- Experience with data-specific programming languages/packages such as R or Python Pandas.- Experience with AWS solutions such as EC2, DynamoDB, S3, and EMR.- Knowledge of machine learning techniques and concepts.Salary: . Date posted: 04/06/2024 09:19 PM

Software Development Engineer,SDEII(L5)

Amazon, Chennai, Tennessee

BASIC QUALIFICATIONS- 3+ years of non-internship professional software development experience- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience- Experience programming with at least one software programming languageDESCRIPTIONThe Creator Tools Team owns self-service content creator tools in addition to the WW Kindle content quality standard and related tech. Our vision is to enable all content creators to prepare and publish their ideated work in a fast, easy, and low-cost manner to Kindle. We help our customers get quality right from the first read as they provide the widest selection books with unique Kindle features for our readers. We builds tools for content creators (authors, publishers, conversion houses, and eBook developers) to create, format and validate content and guard the content quality by notifying issues to the authors/publishers. The flagship products team handles are: 1) Kindle Create - Tool for authors to create, format, edit and enrich with unique Kindle features, 2) Kindle Desktop Previewer - Desktop tool to validate and improve the quality of Kindle books. Both are C++ desktop applications (PC and MAC) built using QT. 3) OPR- An online previewing tool to validate and correct content before publishing. 4)Quasar - Author/Publisher feedback and communication dashboard.We aim to provide best quality reading experience to every reader from the first read, and we do it by providing authors and publishers set of tools to create/validate their content for publishing, by automating quality checks and surfacing related issues at pre-publication and/or pre-ingestion points. Our customers are readers, content creators and KCQ (Kindle Content Quality) operations team. We are backed by ML algorithms which can run through millions of books with varied format, content, language etc to identify the top quality issues. We detect them quicker with very high precision and we either automatically fix them (based on copyright permission) or show them when they are proofing their content using our tools or we reach out to our Content creators via our Quality Dashboard and fix via them on time.As part of the team, you will invent, design and develop end-to-end features to make book creation experience simpler and high quality. The ideal SDE-2 (L5) candidate is clearly passionate about delivering experiences that delight customers and creating solutions that are robust. A commitment to team work, hustle, and strong communication skills (to both business and technical partners) are absolute requirements. Creating reliable, scalable, and high performance products requires exceptional technical expertise, a sound understanding of the fundamentals of Computer Science. This person has thrived and succeeded in fast paced environment where learning new concepts quickly is a must.Key job responsibilities- As a member of the team, you will spend your time as a hands-on engineer and a technical leader who takes ownership of business/technical problem end to end. You will play a key role in defining the architecture for software using a wide range of technologies, programming languages and systems. You will be given the freedom to explore your own ideas with the reward of seeing your code raise the bar for millions of Amazon customers worldwide, including your own family and friends.- You will interface with product manager & stakeholders to understand the business requirements. You will author detailed design covering process/data flow diagrams, key trade-offs, technology & cost considerations that you will review with your team's SDEs/Sr. SDEs as well as impacted upstream/downstream interface SDEs/Sr. SDEs to incorporate feedback resulting in well thought out high quality designs.- You will engage in design reviews within team as well as within org with aim of providing feedback to elevate the quality of designs. You will engage in various team ceremonies like code reviews, daily standup, sprint planning, backlog grooming, sprint retros, operational excellence hand-offs.- You will actively engage in operational support for your team, and ensure that the root causes of operational issues are identified and resolved. You don't settle for the status quo, and routinely identify and execute on opportunities to improve your team's operations.- We embrace the challenges of a fast paced market and evolving technologies, paving the way to high quality content available to readers from the first read. You will be encouraged to see the big picture, be innovative, and positively impact millions of customers.- Successful candidates for this position will have a background in Java, C#, or C++. Equally important to these specific skills is a candidate's ability to multi-task, adapt quickly to new development environments and changing business requirements, learn new systems, gain new skills, create reliable & maintainable code, and find creative, scalable solutions to difficult problems.- The ability to communicate clearly and concisely both written and orally is a key competency as is demonstrable skill as a self-starter. We are looking for candidates who are passionate about delivering consistently to our customers, particularly those who want to grow within a world-class engineering team.We are open to hiring candidates to work out of one of the following locations:Chennai, TN, INDPREFERRED QUALIFICATIONS- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience- Bachelor's degree in computer science or equivalent- Strong Computer Science fundamentals like problem solving, data structures and algorithms Development and debugging experience in Mac or Windows, create reliable and maintainable code Design and architecture knowledge, and familiarity with object oriented design patterns Proficiency in programming languages such as C, C++, C# and/or Java 4+ years of software development experience Communicate clearly and concisely in both written form and orally.Salary: . Date posted: 04/10/2024 09:15 AM

Solution Engineer - HVDC Protection

Siemens, Chennai, Any

Looking for challenging role? If you really want to make a difference - make it with us Can we energize society and fight climate change at the same time? At Siemens Energy, we can. Our technology is key, but our people make the difference. Brilliant minds innovate. They connect, create, and keep us on track towards changing the world's energy systems. Their spirit fuels our mission. Our culture is defined by caring, agile, respectful, and accountable individuals. We value excellence of any kind. Sounds like you? We make real what matters. This is your role • Software implementation for DC Protection systems for High Voltage Direct Current (HVDC) transmission plants within a team of project engineers. • Preparation of technical design specifications. • Concept clarification in close cooperation with the concept coordinators. • Software implementation for DC protection systems based on design specification within the given time frame and budget. • Supports functional & dynamic performance tests (FPT/DPT) and factory acceptance tests (FAT). • Support Site Commissioning of HVDC system. We don't need superheroes, just super minds • Bachelor's degree in engineering - Electrical/Electronic Engineering. • 4-7 years of experience in Power system protection systems, Testing and Commissioning. • Good Knowledge and experience in Power system protection schemes & testing of protection systems. • Basic knowledge of HVDC/FACTS technology. • Good English language skills (orally and verbally). • Good knowledge of Microsoft Office applications (Word, Excel, Visio). • High ability to work in a multi-national and multi-cultural team. • Open minded and creative in cooperation with colleagues and customers. • High commitment and willingness to perform. • Preference: Knowledge in MATLAB, SIMULINK, PSCAD and Python Tools. We've got quite a lot to offer. How about you? This role is based in Chennai, where you'll get the chance to work with teams impacting entire cities, countries - and the shape of things to come. We're Siemens. A collection of over 379,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality and we welcome applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit and business need. Bring your curiosity and imagination and help us shape tomorrow. Find out more about Siemens careers at: www.siemens.com/careersSalary: . Date posted: 04/18/2024 02:38 PM

Data Engineer I

Amazon, Chennai, Tennessee

Sr Service Delivery Engineer

Remote Jobs, Chennai, Any

Who we seek:BigID is growing quickly, and we are expanding our Services team and seeking a Senior Professional Services Engineer. The services team plays an important role in the successful setup, integration and deployment of BigID's discovery tools, for our customers and implementation partners. This position also works to identify the root cause of any deployment issues and works with the larger team to help resolve them to ensure the success of the customer.What you'll do:Work closely with client stakeholders to determine technical requirements for specific business objectives at handPlan implementation engagements, deploy solution components, and participate in the product configuration efforts in order to meet clients' specific requirementsEngage with multi-discipline internal and client teams to ensure smooth rollout of BigID solutions and successful integration within customers' environmentsDeliver training for respective technologies at an applicable level of depth and detail for a given audienceWork closely with our Engineering and Product Management teams to document product issues, enhancement requests raised in the field, and possible implementation flow improvementsWhat you'll bring:Experience in information technology, with at least 3-4 years in a customer-facing role - preferably involved in product implementation and hands-on technical activities within enterprise corporate environmentsUnderstand operational parameters and troubleshooting for a combination of the following: Compute, Storage, Networking, Databases, DevOps, Big Data and Analytics, Security, Applications DevelopmentAdvanced experience in problem identification, system architecture definition, hardware/software specification and/or design, implementation, testing, client training and solution deploymentA proactive approach in understanding internal and customers business challengesProfessional experience in Docker and Kubernetes deployments. Meaningful experience with some DBs, such as MongoDB, Microsoft SQL Server, Oracle Database, PostgreSQL, MySQL/MariaDB, IBM DB2Professional experience with cloud offerings such as AWS, Azure or Google Cloud PlatformExperience with Hadoop (HIVE/Spark)Experience with REST APIProgramming or scripting skills with Java or PythonWhat's in it for you?! Our people are the foundation of our success, and we prioritize offering a wide range of benefits that make our team happier and healthier.* Equity participation - everyone shares in our success* Flexible work arrangements * Medical, Dental, Vision, 401k - that go into effect your first dayOur Values:We look for people who embody our values - Care, Do, Try & Shine.* Care - We care about our customers and each other* Do - We do what it takes to make a positive impact* Try - We try our best and we don't give up* Shine - We shine and make it our mission to always stand out#LI-Remote#LI-AR1 #Salary and compensation No salary data published by company so we estimated salary based on similar jobs related to Docker, Java, Cloud, Senior and Engineer jobs that are similar: $60,000 - $110,000/year#Benefits 401(k)�� Distributed team⏰ Async�� Vision insurance�� Dental insurance�� Medical insurance�� Unlimited vacation�� Paid time off�� 4 day workweek 401k matching�� Company retreats�� Coworking budget�� Learning budget Free gym membership�� Mental wellness budget Home office budget�� Pay in crypto�� Pseudonymous Profit sharing Equity compensation⬜ No whiteboard interview�� No monitoring system�� No politics at work�� We hire old (and young)#LocationChennai, Tamil Nadu, IndiaSalary: . Date posted: 04/20/2024 08:14 AM