Data Engineer, MIDAS, Digital Acceleration
Job Description
Join Amazon's Digital Acceleration (DA) organization as a Data Engineer on the MIDAS team, where you'll be at the forefront of the digital media revolution. This role focuses on developing foundational analytical datasets spanning orders, subscriptions, discovery, promotions, pricing, and royalties. The MIDAS team operates within Amazon's Digital Analytics engineering organization, building analytics and data engineering solutions that support cross-digital teams. Our platform delivers capabilities including metadata discovery, data lineage, customer segmentation, compliance automation, and AI-driven data access through generative AI and LLMs. You'll work with AWS services like Redshift, Kinesis, EMR, and Lambda, while partnering with cross-functional teams to develop scalable data pipelines. The platform currently serves over 100 Amazon business teams with 20,000+ monthly active users. This role combines technical expertise in data engineering with business impact, making it perfect for someone passionate about turning data insights into action at Amazon scale.
Responsibilities For Data Engineer, MIDAS, Digital Acceleration
- Develop data products, infrastructure and data pipelines leveraging AWS services
- Improve existing solutions/build solutions to improve scale, quality, IMR efficiency, data availability, consistency & compliance
- Partner with Software Developers, Business Intelligence Engineers, MLEs, Scientists, and Product Managers
- Drive operational excellence and build automation mechanisms
Requirements For Data Engineer, MIDAS, Digital Acceleration
- 1+ years of data engineering experience
- Experience with SQL
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
- Experience with one or more scripting language (e.g., Python, KornShell)
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