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Business Intelligence Engineer, RBS ARTS
Amazon, Chennai, TN, IN
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.
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Quality Assurance Engineer I
Amazon, Chennai, TN, IN
DESCRIPTIONThe Amazon Payments Tech Team’s vision is to delight our customers with the best payment experience in the world! To achieve this vision, we are in search of a talented technical leader and craftsman who builds robust software that scales as well as client-facing features which are intuitive and simple to use. Our team takes a world view of payments for all of Amazon and builds highly customized and seamless payment experiences for our global customers. This focus on customer and geography requires working on different technologies and back-end platform systems in order to meet the needs of our customers. Our back-end systems are always available and guarantee that our customer’s orders are never lost and always processed even when downstream services are down. You will have a chance to understand and work in Amazon's Stack across Retail and Digital business.Key job responsibilitiesAs a Quality Assurance Engineer, you will:- Work closely with engineers and business owners throughout the development and testing lifecycle, including the requirements gathering and design analysis- Drive the creation of test plans and test cases, efficiently execute test cases across all functional and UI areas of our products- Interpret and report testing results, and be an advocate for quality in every phase of the development process- Automate all the test cases for the features before the deployments, focused on UI, API or Mobile automation for Amazon Payment products using Java, open source and Amazon tools.We are open to hiring candidates to work out of one of the following locations:Chennai, TN, INDBASIC QUALIFICATIONS- 2+ years of quality assurance engineering experience- Experience in manual testing- Experience in automation testing- Knowledge of QA methodology and tools- Demonstrated passions around software quality, and technology.- Demonstrated ability to learn and develop technical skillsPREFERRED QUALIFICATIONS- Experience in API & Mobile testing- Experience designing and planning test conditions, test scripts, and test data sets to ensure appropriate and adequate coverage and control- computer science fundamentals, data structures, algorithm design and problem solving skills- Knowledge of professional software engineering practices & best practices for full software development life cycle, including coding standards, code reviews, source control management, continuous deployments, testing and operations
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
Sr. Business Intelligence Engineer, RBS ARTS
Amazon, Chennai, TN, IN
DESCRIPTIONAmazon's Retail Business Services team is looking for talented Business Intelligence Engineer (BIE) , who enjoys the challenge of diving into complex business problems, providing data driven insights, and making recommendations that directly impact business. As a BIE, you will use broad technical skills to build analytic and reporting capabilities. The ideal candidate is a highly analytical, critical thinker with advanced problem solving, data mining, analytics and data engineering skills. They will enjoy working with research scientists, program managers, product managers, and data engineers to drive decisions. Successful members of this team are customer obsessed, flexible, and collaborative team players who enjoying working across functions and organizations to solve problems and get results. They thrive in ambiguity, ask hard questions, and build scalable solutions that provide critical business insights necessary to influence decision making across organizations. They find timely answers buried in large data sets and complex systems, identify root causes, and are obsessed with generating business insights. This position requires superior analytical thinkers, able to quickly approach large ambiguous problems and apply technical and engineering expertise to rapidly prototype and deliver solutions. The individual will be tasked to: - Perform simultaneous large, complex, and business critical analyses that serve major parts of the business. - Develop scalable models and tools that speed up both decision making and accuracy for the team. - Be a key influencer in strategy and contribute significantly to team planning. - Show good judgement making technical trade-offs between the team’s short term and long term business needs. - Navigate discordant views, find the best way forward, and influence stakeholders around a solution.In this role, responsibilities will include: - Defining, developing, and maintaining critical business and operational reports reviewed on a weekly, monthly, quarterly, and annual basis - Analysis of historical data to identify trends and support decision making, including written and verbal presentation of results and recommendations - Collaborating with product and software development teams to implement analytics systems and data structures to support large-scale data analysis and delivery of models (heuristics, machine learning) - Mining and manipulating data from database tables, simulation of results and log files - Identifying data needs and driving data quality improvement projects - Understanding the broad range of Amazon’s data resources, which to use, how, and when - Thought leadership on data mining and analysis - Modeling complex/abstract problems and discovering insights using statistics, data mining, and visualization techniques - Helping to automate processes by developing deep-dive tools, UIs, metrics, and dashboards to communicate insights to the business teams - Collaborating effectively with internal end-users, cross-functional development teams, and technical support/sustaining engineering teams to solve problems and implement new solutionsWe are open to hiring candidates to work out of one of the following locations:Bangalore, KA, IND | Chennai, TN, INDBASIC QUALIFICATIONS- 10+ years of professional or military experience- 5+ years of SQL experience- Experience programming to extract, transform and clean large (multi-TB) data sets- Experience with theory and practice of design of experiments and statistical analysis of results- Experience with AWS technologies- Experience in scripting for automation (e.g. Python) and advanced SQL skills.- Experience with theory and practice of information retrieval, data science, machine learning and data miningPREFERRED QUALIFICATIONS- Experience working directly with business stakeholders to translate between data and business needs- Experience managing, analyzing and communicating results to senior leadership
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
Manager II Support Engineer
Amazon, Chennai, Tennessee
BASIC QUALIFICATIONS - BS in Computer Science or equivalent combination of technical education and work experience - Dedicated and committed - External hires should have minimum of 7 - 10 years of relevant experience - Should have at least 2 year of experience in managing a team of 10-15 Engineers - Experience in hiring, recruiting, developing and promoting Technical Contributors and Engineers - Strong understanding of support processes - SLA, handling tickets, monitoring, processes and metrics. - Very strong stakeholder management and communication management. - Good command over Windows and Excel - Strong analytical skills and ability to work in an unstructured and evolving environment - Good people manager who can manage and motivate direct reports and get the best out of themDESCRIPTIONAmazon Music Imagine being a part of an agile team where your ideas have the potential to reach millions. Picture working on cutting-edge consumer-facing products, where every single team member is a critical voice in the decision-making process. Envision being able to leverage the resources of a Fortune-500 company within the atmosphere of a start-up. Welcome to Amazon Music, where ideas are born and come to life. Everyone on our team has a meaningful impact on product features, new directions in music streaming, and customer engagement. We are looking for new team members across a variety of job functions including software engineering/development, marketing, design, ops, and more. Come join us as we continue to make history by launching exciting new projects. Our team is focused on building a personalized, curated, and seamless music experience. We want to help our customers discover up-and-coming artists, while also having access to their favorite established musicians. We build systems that are distributed on a large scale, spanning our music apps, web player, and voice-forward audio engagement on mobile and Amazon Echo devices, powered by Alexa to support our customer base. Amazon Music offerings are available in countries around the world and our applications support our mission of delivering music to customers in new and exciting ways that enhance their day-to-day lives. Come innovate with the Amazon Music team! As a Support Engineering Manager for Amazon Music team you would be managing a talented team of support engineers resolving technical problems. You identify customer problems, demonstrate excellent judgement skills in decision making, mentoring and growing talent. You inspire people, motivate the team, drive the culture of innovation, implement support engineering best practices, and have commitment and grit to deliver results. You improve the customer experience with technical support, case escalations, and service quality. You are responsible for overall productivity, quality, and delivery of support engineering services. To make sure your team provide high quality support, you facilitate their connection to subject matter experts and learning opportunities. You are responsible for team schedules and goals. You help scope technical efforts and identify risks. You stay connected and resolve blockers. You communicate business updates, priorities, resolution status, and any challenges to your customers, stakeholders, and management. You manage escalations and make sure customer needs are met. You drive Operational Excellence that improve processes (e.g., automating ad-hoc or manual steps). You ensure team compliance with policies (e.g., information security, data handling, service level agreements.). You hold postmortems and document lessons-learned in COEs to ensure that problems don't repeat. Key Responsibilities Include: - Monitoring & Resolution of Trouble Tickets within defined SLA's. Drive escalations to engineering team. - Drive Root Cause Analysis, Impact Analysis and Production Deployment support. - Build automated frameworks, tools, solutions to enable stakeholders/business owners monitor health/drive business outcomes (For example: Automated Business/Product Metrics) - Build a culture of direct code interaction by nurturing talent towards building applications/debugging & making code level fixes. - Regular interactions with various internal business-owners (like engineering teams) to help understand requirements & business priorities, define engagement model and drive improvements. - Developing support strategies and creating appropriate harnesses as well as pragmatic approaches for quick & effective support. - Resource planning to support various program asks. - Drive initiatives to maximize operational efficiency. - Defining measurable metrics to gauge progress against objective Support goals. - Build best-of-class support engineering teamWe are open to hiring candidates to work out of one of the following locations:Chennai, TN, INDPREFERRED QUALIFICATIONS - BS in Computer Science or equivalent combination of technical education and work experience - External hires should have minimum of 7 - 10 years of relevant experience - Should have at least 2 year of experience in managing a team of 10-15 Engineers - Strong organizational skills, tracking multiple test executions simultaneously and ability to synthesize the results - Experience working and coordinating with distributed worldwide teams preferred - Shows creativity and initiative to improve productivity by Innovative means like Developing New tools - Proven ability to troubleshoot and identify the root cause of issues in complex Enterprise Level applications. - Demonstrated skill and passion for problem solving and operational excellence. Amazon is an Equal Opportunity-Affirmative Action Employer - Minority / Female / Disability / Veteran / Gender Identity / Sexual OrientationSalary: . Date posted: 04/16/2024 10:25 PM
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 09:19 PM
Quality Assurance Engineer
Amazon, Chennai, Tennessee
BASIC QUALIFICATIONS- 1+ years of quality assurance engineering experience- Experience in manual testing- Experience in automation testing- Experience in UI and API automation testing (Selenium/SOAPUI)DESCRIPTIONAmazon india is an inventive research and development company that designs and engineers high-profile devices like Echo, FireTV, tablets, e-readers, which have changed the daily lives of millions of users. Most advanced products need cutting-edge testing to ensure they reach the customers with the best quality. This is the mission of every Software QA engineer at Amazon Lab126/India . At Amazon, we not only test the products, we treat the testing activities on par with design and invention of a system. We use state of the art technologies and methodologies to ensure the most efficient and most comprehensive testing. Invention of new test methodologies and innovation is the essence of testing in our team. Work hard. Have fun. Make history.Role Requirements: You are expected to have industry-leading technical abilities that enable you to significantly improve product quality. You should have a combination of: • Solid in-depth knowledge of Quality Assurance Concepts • Excellent solid understanding of the operating system software, as well as knowledge of object-oriented design principles. • Understanding of 802.11 standards • Total 1-2 years of experience in wireless testing in WIFI -BT, or Zigbee• You will spend efforts studying and designing the new methodologies and techniques to facilitate testing, including the state-of-art Machine Learning and Deep Learning methods. Basic qualifications • Experience in manual testing and automated testing • 2+ year of experience working as a Quality Assurance Engineer • Bachelor's degree in Computer Science, Computer Engineering or similar technical field. •2+ years of experience in automation development and testing using Python, experience in automating the test cases for embedded software. • Preferred qualifications • Product experience with wireless consumer electronicsDomain expertise in Wi-Fi or , Bluetooth or ZigbeeHands-on experience in Bluetooth certification and Wi-Fi certificationHands-on experience in Bluetooth profiles and features (A2DP, AVRCP, MAP, HID and HFP) testingSolid understanding of QA tool and environments for wi-Fi , BT packet captureExperience writing automation code for (Wi-Fi,Bluetooth, Zigbee) based systemsFamiliarity with WiFi 802.11 a/b/g/n/ac Shows creativity and initiative to improve product coverage and effectiveness• Knowledge of industry standard test automation tools and experience developing product test harnesses • Experience with Android, iOS or other mobile application development or testing • Strong experience in Python, Java, C, and C++ • Experience with open source tools and resources • Experience working closely with development and business teams.Key job responsibilitiesAs a Software Quality Assurance Engineer, you will join the team of hands-on, passionate and seasoned SQA professionals developing innovative consumer-centric testing solutions. In this role, you will: • Develop test plans and test cases • Develop Automation test harness and automate tests using internal and open source tools & infrastructure • Find, isolate, document, regress, and track bugs through to a resolution • Interpret and report testing results, and be a vocal proponent for quality in every phase of the development process • Engage with an experienced cross-disciplinary staff to conceive, design and develop innovative consumer products. • Need to have hunger of continuously searching for better and more efficient test solutions, and an instinct for continuous invention and innovation. • Have the opportunity to propose improvements to our existing processes and automated tools in order to improve the team's speed, quality and efficiency. • Be responsive, flexible and able to succeed within an open collaborative peer environment. You will need to be able to work efficiently and effectively in a fun, fast-paced dynamic team environment. About the teamConnectivity team works in WIFI , BT , ZIGBEE technology on all Amazon productsWe are open to hiring candidates to work out of one of the following locations:Chennai, TN, INDPREFERRED QUALIFICATIONS- Experience in API & Mobile testing- Experience designing and planning test conditions, test scripts, and test data sets to ensure appropriate and adequate coverage and controlSalary: . Date posted: 04/22/2024 10:43 PM