Amazon
Data Engineer I
About this role
This role sits in the Data Insights, Metrics & Reporting team, the central data engineering group for Amazon's Warehousing & Distribution organisation in Bengaluru. The team builds and maintains data and reporting infrastructure on AWS-based services, ingests data from sources such as event streams, data lakes and manual uploads, and shares data with internal teams and external sellers. It also builds data marts to support use cases powered by GenAI tools. Day to day, the engineer works with software developers and business stakeholders to understand data needs, then designs and codes pipelines and datasets, with documentation and automated tests. It suits someone with some data engineering experience who is strong in SQL and data modelling and comfortable explaining technical ideas to non-technical users.
Amazon is hiring for Data Engineer I, a full-time role based in Bengaluru.
Who can apply: 1+ years. Skills: SQL, Python, Data Modelling, ETL, AWS, Spark.
Hirastra checked that this opening is live. Apply directly through the official posting; applying is always free.
What you'll do
- Work with SDE teams and business stakeholders to understand data requirements and design the team's data ingress flow
- Design, model and implement large structured, semi-structured and unstructured datasets
- Evaluate and implement efficient distributed storage and query techniques
- Extract, transform and load data from a wide variety of internal and external sources
- Write robust, maintainable code with clear documentation
- Implement unit and integration test automation for the code
- Work in a stack that mixes AWS services and legacy ETL tools
What you need
- 1+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with one or more query languages (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
- Experience with one or more scripting languages (e.g., Python, KornShell)
- Preferred: big data technologies such as Hadoop, Hive, Spark, EMR
- Preferred: experience with an ETL tool such as Informatica, ODI, SSIS, BODI or Datastage
- Location
- Bengaluru
- Work mode
- See listing
- Experience
- 1+ years
- Pay
- ₹14–22 LPA (Est.)
- Type
- Full-time job, Developer
- Added
- 19 October 2026
Skills
- SQL
- Python
- Data Modelling
- ETL
- AWS
- Spark
"Est." = Hirastra's estimate based on market data, not an official figure.
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