Role Title AWS Data Engineers Location Hyd/Bengaluru/Chennai Experience Range 3 to 6 years Competency Area AWS Data & Analytics Role Summary The AWS Data Engineer will build ETL / ELT pipelines, data lake structures and curated datasets to support analytics, reporting, AI and GenAI workloads.

Required Primary

Skills - AWS Glue

- Amazon S3
- Athena
- Redshift
- SQL
- Python / PySpark Secondary Skills - EMR
- Lake Formation
- Incremental loads
- Data validation
- Pipeline monitoring Technical Skills - AWS Glue, S3, Athena, Redshift, EMR and Lake Formation basics
- SQL, Python, PySpark and data transformation frameworks
- ETL / ELT design, incremental loads and orchestration concepts
- Pipeline monitoring, error handling and cost optimization Key Responsibilities - Develop ingestion frameworks and ETL / ELT pipelines.
- Build data lake and warehouse datasets using AWS services.




- Prepare curated data for BI, analytics, AI and GenAI workloads.
- Implement data quality checks, monitoring and error handling.
- Collaborate with architects, analytics engineers and AI teams.

Preferred

Certifications - AWS Certified Data Engineer - Associate

- AWS Certified Solutions Architect - Associate Expected Deliverables - ETL / ELT pipelines
- Curated datasets
- Pipeline quality reports
- Technical documentation Qualification - B.E. / B.Tech / M.Tech / MCA or equivalent degree in Computer Science, Information Technology, Engineering or related discipline.
- Hands-on delivery experience aligned to the stated experience range and role scope.

📌 AWS Data Engineer (Bengaluru)
🏢 Sonata Software
📍 Bengaluru