Data Engineer, Prime Analytics & Data Science Team
Data Engineer, Prime Analytics & Data Science Team
Posted on :
01-06-2025
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1 Vacancy
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Job Description
Amazon Prime is a program that provides millions of members with unlimited one-day delivery unlimited streaming of video and music secure online photo storage access to kindle e-books as well as Prime special deals on Prime Day. In India Prime members get unlimited free One-Day and Two-day delivery video streaming and early and exclusive access to deals. After the launch in 2016 the Amazon Prime team is now looking for a detailed oriented business intelligence engineer to lead the business intelligence for Prime and drive member insights.
At Amazon were always working to be the most customer-centric company on earth. To get there we need exceptionally talented bright and driven people. We are looking for a dynamic organized and customer-focused Analytics expert to join our Amazon Prime Analytics team. The team supports the Amazon India Prime organization by producing and delivering metrics data models and strategic analyses.
This is an Individual contributor role that requires an individual with excellent team leadership skills business acumen and the breadth to work across multiple Amazon Prime Business Teams Data Engineering Machine Learning and Software Development teams. A successful candidate will be a self-starter comfortable with ambiguity strong attention to detail and a proven ability to work in a fast-paced and ever-changing environment.
Key job responsibilities
The successful candidate will work with multiple global site leaders Business Analysts Software Developers Database Engineers Product Management in addition to stakeholders in business finance marketing and service teams to create a coherent customer view. They will:
- Define and lead the data strategy of various analytical products owned with Prime Analytics team.
- Develop and improve the current data architecture using AWS Redshift AWS S3 AWS Aurora (Postgres) and Hadoop/EMR.
- Improve upon the data ingestion models ETL jobs and alarming to maintain data integrity and data availability.
- Create entire ML framework for Data Scientists in AWS Bedrock Sagemaker and EMR clusters
- Stay up-to-date with advances in data persistence and big data technologies and run pilots to design the data architecture to scale with the increased data sets of advertiser experience.
- Design and manage data models that serve multiple Weekly Business Reports (WBRs) and other business critical reporting
- 3 years of data engineering experience
- Experience with data modeling warehousing and building ETL pipelines
- Experience as a data engineer or related specialty (e.g. software engineer business intelligence engineer data scientist) with a track record of manipulating processing and extracting value from large datasets
- Experience in at least one modern scripting or programming language such as Python Java Scala or NodeJS
- Experience with big data technologies such as: Hadoop Hive Spark EMR
- Experience with AWS technologies like Redshift S3 AWS Glue EMR Kinesis FireHose Lambda and IAM roles and permissions
- Experience with non-relational databases / data stores (object storage document or key-value stores graph databases column-family databases)
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
At Amazon were always working to be the most customer-centric company on earth. To get there we need exceptionally talented bright and driven people. We are looking for a dynamic organized and customer-focused Analytics expert to join our Amazon Prime Analytics team. The team supports the Amazon India Prime organization by producing and delivering metrics data models and strategic analyses.
This is an Individual contributor role that requires an individual with excellent team leadership skills business acumen and the breadth to work across multiple Amazon Prime Business Teams Data Engineering Machine Learning and Software Development teams. A successful candidate will be a self-starter comfortable with ambiguity strong attention to detail and a proven ability to work in a fast-paced and ever-changing environment.
Key job responsibilities
The successful candidate will work with multiple global site leaders Business Analysts Software Developers Database Engineers Product Management in addition to stakeholders in business finance marketing and service teams to create a coherent customer view. They will:
- Define and lead the data strategy of various analytical products owned with Prime Analytics team.
- Develop and improve the current data architecture using AWS Redshift AWS S3 AWS Aurora (Postgres) and Hadoop/EMR.
- Improve upon the data ingestion models ETL jobs and alarming to maintain data integrity and data availability.
- Create entire ML framework for Data Scientists in AWS Bedrock Sagemaker and EMR clusters
- Stay up-to-date with advances in data persistence and big data technologies and run pilots to design the data architecture to scale with the increased data sets of advertiser experience.
- Design and manage data models that serve multiple Weekly Business Reports (WBRs) and other business critical reporting
- 3 years of data engineering experience
- Experience with data modeling warehousing and building ETL pipelines
- Experience as a data engineer or related specialty (e.g. software engineer business intelligence engineer data scientist) with a track record of manipulating processing and extracting value from large datasets
- Experience in at least one modern scripting or programming language such as Python Java Scala or NodeJS
- Experience with big data technologies such as: Hadoop Hive Spark EMR
- Experience with AWS technologies like Redshift S3 AWS Glue EMR Kinesis FireHose Lambda and IAM roles and permissions
- Experience with non-relational databases / data stores (object storage document or key-value stores graph databases column-family databases)
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Employment Type
Full-Time
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