Data Engineer I – DSP Analytics
Amazon · Hyderabad
| Company | Amazon |
|---|---|
| Role | Data Engineer I – DSP Analytics |
| Location | Hyderabad |
| Work mode | On-site |
| Experience | 1–3 years |
| Job type | Full-time |
About this job
Amazon is hiring a Data Engineer I in Hyderabad for its DSP Analytics team, which supports the Delivery Service Partner programme behind Amazon's last-mile deliveries. You will build batch and real-time pipelines that turn raw data into insights for the business.
The team works with data scientists, economists and analysts, and is building data infrastructure for generative AI uses, including agents that automate parts of data operations. It is an onsite role.
Eligibility
- 2+ years of data engineering experience
- Strong SQL and experience with data modelling, warehousing and ETL
- Scripting in Python or a similar language
- Knowledge of databases, data warehouses or data lakes
- AWS (Redshift, S3, Glue, EMR, Kinesis) and big data tools are a plus
Skills required
What you will do
- Build pipelines that pull data from databases, APIs and partners
- Clean, enrich and structure raw data for reporting and analysis
- Run warehouse storage with good query performance
- Set data quality checks and fix issues early
- Secure data with access controls and monitor pipeline health
How to apply
- Open the official Amazon job page with the Apply button and submit your application there.
- Tailor your resume to pipelines you built, the data sizes involved and how you kept data quality high.
Before the interview, prepare:
- SQL: window functions, deduplication and slowly changing dimensions
- Data modelling: star schema vs normalised models
- AWS data stack: S3, Glue, Redshift and Kinesis and how they fit
- Amazon Leadership Principles stories, especially Dive Deep and Ownership
Get jobs like this every day on WhatsApp. Free, no spam, only verified openings.
Join channelStay safe: DailyITJobs is not a recruitment agency and is not connected to Amazon. Apply only on the official website. Never pay anyone for a job, interview or offer letter.