Data Engineer, MIDAS, Digital Acceleration

Amazon · Chennai, India · Business Intelligence

mid Data Engineer ic 3+ yrs Bachelor's · Posted Mar 16, 2026

About this role

Amazon is hiring a mid-level Data Engineer based in Chennai, India. The posting calls out experience with Python, Java, Scala, AWS and roughly 3+ years of relevant work. Listed education preference: a bachelor's degree or equivalent.

Role
Data Engineer
Function
data engineering
Level
mid
Track
Individual contributor
Employment
Full-time
Location
Chennai, India
Experience
3+ years
Education
Bachelor's degree
Department
Business Intelligence
Posted
Mar 16, 2026
AI Summary
Mid-level data engineer developing ETL pipelines and analytical datasets on AWS services (Redshift, Kinesis, EMR, Lambda) to support Amazon's digital businesses. Requires 3+ years data engineering experience, proficiency with data modeling and warehousing, and ability to deliver end-to-end projects independently.
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Job description

from Amazon careers

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? 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. 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…

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