Description
- 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)
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, we're 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, outstanding 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
- 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)
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, we're 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, outstanding 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
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