Role Title :AWS Data Engineers

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.

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