Job Description

Description

The Amazon RoW Central Data Engineering (ARTS DE) team builds and operates the central data infrastructure backbone for Amazon's Rest-of-World (ROW) business operations, serving 5,000+ daily users across 14,000+ dashboards and 70,000+ daily data job runs. We run mission-critical systems including a centralized Amazon Redshift cluster, Aurora RDS real-time applications, Tableau Server, and a suite of automated data pipelines that ingest from EDX, SNS, Andes, APIs, and S3.

We are looking for a Qualified Data Engineer who takes ownership seriously, thinks clearly under ambiguity, and brings strong technical depth across databases, cloud infrastructure, and data pipeline engineering. You will work alongside senior engineers and technical managers to design, build, and maintain production-grade data systems that directly enable operational decision-making across RoW countries, India, and other emerging markets. If you enjoy untangling complex data problems and taking end-to-end ownership of your solutions, this role is for you.

Key job responsibilities





Design and build data pipelines — architect and implement robust batch, intraday, and near-real-time ETL/ELT pipelines ingesting data from diverse sources including EDX datasets, SNS events, Andes tables, REST APIs, and S3, landing data reliably into Redshift and Aurora.

Own Redshift infrastructure — write, optimize, and tune SQL and ETL workloads on Amazon Redshift; manage WLM queues, distribution/sort keys, materialized views, and query performance; proactively identify and resolve performance bottlenecks.

Manage big data lifecycle — design data models and schemas (star/snowflake), enforce data partitioning and retention policies, implement data quality checks, and ensure data accuracy and freshness SLAs are consistently met.

Deliver on ambiguous requirements — independently break down loosely defined business asks into concrete technical deliverables with clear scope, milestones, a

📌 Data Engineer II, ARTS Data Engineering Team (Bengaluru)
🏢 Amazon Filters
📍 Bengaluru