Data Engineer (SPT) – Seller Data Platform, Spark & Big Data
Amazon · Hyderabad
| Company | Amazon |
|---|---|
| Role | Data Engineer (SPT) – Seller Data Platform, Spark & Big Data |
| Location | Hyderabad |
| Work mode | On-site |
| Experience | 3–6 years |
| Job type | Full-time |
About this job
Amazon is hiring a Data Engineer for its SPT team in Hyderabad, working on the seller data that drives decisions across the business. You will join fragmented pipelines into one reliable platform with clear lineage.
The role is more senior than a starter post: it asks for five years of data engineering, a coding language such as Python or Scala and mentoring experience. Big data tools like Spark, Hive and EMR and large warehouse operations are a plus. The role is in the office.
Eligibility
- 5+ years of data engineering
- Data modelling, warehousing and ETL
- SQL plus Python, Java, Scala or NodeJS
- Experience mentoring team members
- Plus: Hadoop, Hive, Spark, EMR and large warehouses
Skills required
What you will do
- Design scalable, secure data pipelines
- Enforce modelling and governance standards
- Lead code and design reviews
- Build batch and real-time platforms
- Mentor engineers and help with hiring
How to apply
- Open the official Amazon job page with the Apply button and submit your application there.
- Tailor your resume to big data platforms you ran, Spark jobs you tuned and people you mentored.
Before the interview, prepare:
- Spark partitioning and shuffle tuning
- Hive vs Spark SQL
- Designing a slowly changing dimension
- Running a large data warehouse reliably
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.