Data Engineer, Amazon Ads Sales Analytics (DIGI)

- Owning the design, operations and improvements for the Organizations Datawarehouse infrastructure - Maintain, improve and manage all ETL pipelines and clusters - Explore and learn the latest AWS technologies to provide new capabilities and increase efficiency - Define metrics and KPIs to measure success of strategic initiatives and report on their progress - Develop relationships and processes with finance, sales, business operations, solution delivery team, partner, BD, and other cross-functional stakeholders - Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers. - Collaborate with data scientists, BIEs and BAs to deliver high quality data architecture and pipelines. - Design extensible metrics schemas that support complex analytical queries while optimizing for AI retrieval patterns. BASIC QUALIFICATIONS - 3+ years of data engineering experience - 4+ years of SQL experience - Experience with data modeling, warehousing and building ETL pipelines PREFERRED QUALIFICATIONS - 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 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.