BIE I, AOP - RoW Central Data Engineer Team

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, and acceptance criteria; drive from requirement to production with minimal hand-holding. Build automation and self-healing systems — reduce manual toil through automation (Lambda, ECS, Step Functions, CloudWatch alarms); contribute to the team's Server Auto Maintenance Program and ETL cleanup initiatives. AWS cloud engineering — use AWS services (Redshift, Aurora RDS, S3, Lambda, ECS Fargate, SQS, SNS, CDK/CloudFormation, Secrets Manager, EventBridge) to BASIC QUALIFICATIONS - 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared) - Experience with scripting language (e.g., Python, Java, or R) PREFERRED QUALIFICATIONS - Master's degree, or Advanced technical degree - Knowledge of data modeling and data pipeline design - Experience with statistical analysis, co-relation analysis

Amazon is a global technology company operating in e-commerce, cloud computing (AWS), digital streaming, advertising and artificial intelligence. Its India operations span development centres in Bengaluru, Hyderabad, Chennai, Pune, Gurugram and Mumbai, covering retail technology, AWS infrastructure, Alexa, advertising, payments and supply-chain systems.