Data Engineer II, MIDAS, Digital Acceleration

Are you excited about the digital media revolution and passionate about designing and delivering advanced analytics that directly influence the product decisions of Amazons digital businesses. Do you see yourself as a champion of innovating on behalf of the customer by turning data insights into action

The Amazon Digital Acceleration (DA) org is looking for an analytical and technically skilled data engineer to join our this role you will play a critical part in developing foundational analytical datasets spanning orders subscriptions discovery promotions pricing and royalties. Our mission is to enable digital clients to easily innovate with data on behalf of customers and make product and customer decisions faster.

An ideal individual is someone who has deep data engineering skills around ETL data modeling database architecture and big data solutions. This individual should have strong business judgement excellent written and verbal communication skills.



Key job responsibilities
1. Develop data products infrastructure and data pipelines leveraging AWS services (such as Redshift Kinesis EMR Lambda etc.) and internal BDT tools (Datanet Cradle QuickSight etc.

2. Improve existing solutions/build solutions to improve scale quality IMR efficiency data availability consistency & compliance.

3. Partner with Software Developers Business Intelligence Engineers MLEs Scientists and Product Managers to develop scalable and maintainable data pipelines on both structured and unstructured (text based) data.

4. Drive operational excellence strongly within the team and build automation and mechanisms to reduce operations

About the team
The MIDAS team operates within Amazons Digital Analytics (DA) engineering organization building analytics and data engineering solutions that support cross-digital teams. Our platform delivers a wide range of capabilities including metadata discovery data lineage customer segmentation compliance automation AI-driven data access through generative AI and LLMs and advanced data quality monitoring. Today more than 100 Amazon business and technology teams rely on MIDAS with over 20000 monthly active users leveraging our mission-critical tools to drive data-driven decisions at Amazon scale.

- 3 years of data engineering experience
- 4 years of SQL experience
- Experience with data modeling warehousing and building ETL pipelines

- 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)

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