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# Data Engineer II, MIDAS, Digital Acceleration

- **Company:** Amazon.com, Inc.
- **Location:** United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Amazon S3, Build Automation, Big Data, Databases, Information Engineering, Extract Transform Load (ETL), Data Stores, Graph Database, Identity and Access Management, SQL Databases, IMR (Goal Tracking System), System Availability, Electronic Medical Records, AWS Glue, Non-relational Database, Data Pipelines, Amazon Redshift
- **Published:** August 27, 2026
- **Apply:** https://dejobs.org/x/x/0941B31318C44CABB872ACF58621FCB3/job/

## About the Role

The Amazon Digital Acceleration (DA) org is looking for an analytical and technically skilled data engineer to join our team. In 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., * 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)

## Description

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


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