6 days ago
Bengaluru, IndiaMid Level
Responsibilities
- Design, build, operate, and optimize ETL/ELT pipelines processing billions of records per day.
- Partner with SDEs to define data strategy, architecture direction, data-platform roadmaps, and data contracts.
- Create feature pipelines and data-quality checks supporting personalization and proactive-agent models.
- Own data migrations, schema and platform updates, deployments, pipeline tickets, incident resolution, and root-cause fixes.
- Establish best practices for data modeling, warehousing, pipeline design, and production operations.
- Partner with applied scientists and ML engineers to onboard new signal sources and support model data needs.
Requirements
- At least 3 years of data engineering experience.
- At least 4 years of SQL experience.
- Experience with data modeling, data warehousing, and building ETL pipelines.
- Preferred experience with AWS technologies including Redshift, S3, AWS Glue, EMR, Kinesis, Firehose, Lambda, and IAM roles and permissions.
- Preferred experience with non-relational databases and data stores, including object storage, document or key-value stores, graph databases, and column-family databases.
About Amazon
Amazon builds and operates a global e-commerce marketplace, logistics network, and consumer devices, and provides cloud computing via AWS for businesses and developers. The company earns revenue from online retail, third‑party seller services, subscriptions like Prime, advertising, and AWS usage. Founded in 1994 and headquartered in Seattle, it is publicly traded on NASDAQ (AMZN) and serves customers in dozens of countries.