mid Data Engineer ic 3+ yrs · Posted Mar 14, 2026

About this role

Amazon is hiring a mid-level Data Engineer based in Bangalore, India. The posting calls out experience with Python, Java, Scala, SQL and roughly 3+ years of relevant work.

Role
Data Engineer
Function
data engineering
Level
mid
Track
Individual contributor
Employment
Full-time
Location
Bangalore, India
Experience
3+ years
Department
Systems, Quality, & Security Engineering
Posted
Mar 14, 2026
AI Summary
Design and implement scalable ETL pipelines and data warehouse solutions for Alexa Echo devices. Build data models, dashboards, and analytics platforms using Python, Scala, or Java on AWS services like Redshift and EMR. Requires 3+ years data engineering experience with SQL, data modeling, and big data architecture expertise.

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Job description

from Amazon careers

The Alexa Echo Device Team is looking for a talented, highly motivated Data Engineer to join our Business Intelligence team. We provide actionable business insights that inform future products and services that will power the next generation of Echo and Alexa devices. As a Senior Data Engineer, you will work in one of the world's largest and most complex data warehouse environments. You will work closely with Product Management, Software Development, Data Science, and other Data Engineering teams to develop scalable and innovative analytical solutions, process and store terabytes of low latency structured and unstructured data, and enable the Echo Device team to build successful, data driven strategies. You will be responsible for designing and implementing an analytical environment using third-party and in-house tools and using Python, Scala, or Java to automate the ETL, analytics, and data quality platform from the ground up. You will design and implement complex data models, model metadata, build reports and dashboards, and own data presentation and dashboarding tools for the end users of our data products and systems. You will work with leading edge technologies like Redshift, EMR, Hadoop/Hive/Pig, and more. You will write scalable, highly tuned SQL queries running over billions of rows…

This is an excerpt. Read the full job description on Amazon careers →
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