Amazon
Data Engineer I
- Location
- Hyderabad
- Work mode
- See listing
- Experience
- 2+ yrs exp
- Pay
- ₹18–28 LPA (Est.)
- Type
- Full-time job, Developer
- Added
- 11 November 2026
About this role
The DSP Analytics team supports Amazon's Delivery Service Partner program across all its business pillars, helping teams make data- and science-driven decisions. This Data Engineer I role in Hyderabad involves building real-time and batch data pipelines, ETL processes and data warehousing solutions. The team is also building data infrastructure for generative AI applications and agents that automate data operations. Day to day, you would work with data scientists, economists and analysts to understand their data needs and keep pipelines reliable, secure and well documented. The role asks for at least two years of data engineering experience, so it suits early-career engineers rather than fresh graduates.
Amazon is hiring for Data Engineer I, a full-time role based in Hyderabad.
Who can apply: 2+ yrs exp. Skills: SQL, Python, ETL, Data Warehousing, Data Modeling, Spark, AWS Redshift, AWS Glue.
Hirastra checked that this opening is live. Apply directly through the official posting; applying is always free.
What you'll do
- Design, build and maintain data pipelines that pull data from databases, APIs and external providers
- Develop and optimize ETL processes and manage data warehousing for efficient storage and querying
- Set data quality standards, validate data and fix quality issues
- Implement access controls, encryption and monitoring to keep pipelines secure and reliable
- Work with data scientists, analysts and other stakeholders to provide the data infrastructure they need
- Document pipelines, data models and processes
What you need
- 2+ years of data engineering experience
- Experience with SQL and at least one query language (e.g., PL/SQL, HiveQL, SparkSQL, Scala)
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with at least one scripting language (e.g., Python, KornShell)
- Knowledge of database, data warehouse or data lake solutions
Skills
- SQL
- Python
- ETL
- Data Warehousing
- Data Modeling
- Spark
- AWS Redshift
- AWS Glue
"Est." = Hirastra's estimate based on market data, not an official figure.
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