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Systems Engineer III Salary in Chennai - PayScale
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Support Engineer III L4
Amazon, Chennai, TN, IN
DESCRIPTIONThe team enables independent authors, content creators and publishers to publish their content as eBooks for distribution to the Kindle Store, Kindle Unlimited and the Kindle Owners’ Lending Library; as well as in print formats for sale on Amazon’s global marketplaces, bookstores and other online retailers using Amazon’s state-of-the-art Print on Demand (POD) technology. Team is an important part of Amazon’s vision to provide its Kindle and print book customers with the world’s largest selection in the format they prefer – eBook or paperback.The Support Engineering team provides tier 2&3 services production support and is also responsible for providing multifaceted services to the Kindle digital product family of development teams and working with production operations teams for software product release coordination and deployment. This job requires you to hit the ground running and your ability to learn quickly and work on disparate and overlapping tasks that will define your success.Key Job Functions Include these... - Provide support of incoming tickets, including extensive troubleshooting tasks, with responsibilities covering multiple products, features and services - Work on operations and maintenance driven coding projects, primarily in shell scripts, web technologies, with the potential for Java based projects - Software deployment support in staging and production environments - Develop tools to aid operations and maintenance - System and Support status reporting - Ownership of one or more Digital products or components - Customer notification and workflow coordination and follow-up to maintain service level agreements - Work with support team for handing-off or taking over active support issues and creating a team specific knowledge base and skill setA day in the lifeInclusive Team cultureAt Amazon we embrace our differences and we are committed to furthering our culture of inclusion. We host annual and ongoing learning experiences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trustWork Life BalanceWe believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.Mentorship& Career GrowthOur team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional.We are open to hiring candidates to work out of one of the following locations:Chennai, TN, INDBASIC QUALIFICATIONS- 2+ years of software development, or 2+ years of technical support experience- Experience troubleshooting and debugging technical systems- Experience in Unix- Experience scripting in modern program languagesPREFERRED QUALIFICATIONS- Knowledge of web services, distributed systems, and web application development- Experience troubleshooting & maintaining hardware & software RAID- Experience with REST web services, XML, JSON
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
Support Engineer III
Amazon, Chennai, TN, IN
DESCRIPTIONThe APub Support Engineering team will provide tier 2&3 services production support and will also be responsible for providing multifaceted services to the Kindle digital product family of development teams and working with production operations teams for software product release coordination and deployment. This job requires you to hit the ground running and your ability to learn quickly and work on disparate and overlapping tasks that will define your success.Key job responsibilitiesPrimary responsibilities include troubleshooting, diagnosing and fixing production software issues, developing tools, automations and monitoring solutions, performing software maintenance and configuration, implementing the fix for internally developed code, updating, tracking and resolving technical challenges and improving operational excellence and readiness of the systems. Provide support of incoming tickets, including extensive troubleshooting tasks, with responsibilities covering multiple products, features and services Work on operations and maintenance driven coding projects, primarily in shell scripts, web technologies, with the potential for Java based projects Software deployment support in staging and production environments Develop tools to aid operations and maintenance System and Support status reporting Ownership of one or more Digital products or components Customer notification and workflow coordination and follow-up to maintain service level agreements Work with support team for handing-off or taking over active support issues and creating a team specific knowledge base and skill setWe are open to hiring candidates to work out of one of the following locations:Chennai, TN, INDBASIC QUALIFICATIONS- 2+ years of software development, or 2+ years of technical support experience- Experience troubleshooting and debugging technical systems- Experience in Unix- Experience scripting in modern program languages- B.E. in Computer Science or a related field.- knowledge of programming, Operating System and Data structures concepts preferred- Comfortable communicating cross-functionally and across management levels in formal and informal settings- Shows creativity and initiative to improve productivity and develop defect reduction strategies using automation or creative processes.- Ability to understand technical specifications, distributed systems architecture and ability to deep dive on service/application logsPREFERRED QUALIFICATIONS- Knowledge of web services, distributed systems, and web application development- Experience troubleshooting & maintaining hardware & software RAID- Experience with REST web services, XML, JSON- Demonstrated experience in Perl, Python or shell scripts, a sound understanding of web technologies.- Detailed knowledge of the UNIX/Linux operating system and 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.
Application Engineer III
Amazon, Chennai, Tennessee
BASIC QUALIFICATIONS- 2+ years of software development, or 2+ years of technical support experience- Experience troubleshooting and debugging technical systems- Experience in Unix- Experience scripting in modern program languagesDESCRIPTIONAre you interested in joining the team behind Amazon's newest innovation? Come help us work on world class software for our customers! The Amazon Kindle Engineering Support team provides tier 3/4 production engineering support and is also responsible for providing multifaceted services to the Kindle digital product family of development teams and working with production operations teams for software product release coordination and deployment. This job requires you to hit the ground running and your ability to learn quickly and work on disparate and overlapping tasks that will define your success.Some of the key job functions: - Provide support of incoming tickets, including extensive troubleshooting tasks, with responsibilities covering multiple products, features and services - Work on operations and maintenance driven coding projects, primarily in Perl or shell scripts, web technologies, with the potential for Java based projects - Software deployment support in staging and production environments - Develop tools to aid operations and maintenance - System and Support status reporting - Ownership of one or more Digital products or components - Customer notification and workflow coordination and follow-up to maintain service level agreements - Work with support team for handing-off or taking over active support issues and creating a team specific knowledge base and skill setWe are open to hiring candidates to work out of one of the following locations:Chennai, TN, INDPREFERRED QUALIFICATIONS- Knowledge of web services, distributed systems, and web application development- Experience scripting in one or more language (e.g. Bash, Python, Perl, Ruby)- Experience with REST web services, XML, JSONSalary: . Date posted: 04/02/2024 09:17 AM
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