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Job Description
Amazon's Retail Business Services (RBS) team is looking for a Data Engineer to build scalable data pipelines and analytical solutions that power catalog and supply-chain defect resolution. You'll work with large datasets, AWS tooling, and ML-driven teams to keep Amazon's product catalog accurate and reliable.
Responsibilities
Implement real-time and batch data ingestion routines using best practices in data modeling and ETL/ELT
Design and operate large-scale, high-performance data systems for analysis and data science
Translate business requirements into scalable, flexible data architecture
Collaborate with engineers on data integrity, testing, and documentation standards
Design and operate large-scale, high-performance data systems for analysis and data science
Translate business requirements into scalable, flexible data architecture
Collaborate with engineers on data integrity, testing, and documentation standards
Requirements
1+ years of data engineering experience
Experience with SQL and one or more query languages (e.g., SQL, PL/SQL, HiveQL)
Experience with data modeling, warehousing, and building ETL pipelines
Experience with a scripting language such as Python
Experience with SQL and one or more query languages (e.g., SQL, PL/SQL, HiveQL)
Experience with data modeling, warehousing, and building ETL pipelines
Experience with a scripting language such as Python
Skills
AWS
Python
SQL
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Key Details
- Location
- Bengaluru
- Job Type
- Full-time
- Experience
- 1–3 years
- Salary
- Not disclosed
- Openings
- 1
- Apply by
- 23 Aug 2026
- Category
- Data Science & AI
- Posted
- 24 Jul 2026
About Amazon
Global e-commerce and cloud technology company operating at massive scale across retail, logistics, and AWS cloud infrastructure.