AWS Data Engineer
Summary
Builds ETL/ELT pipelines, data lake structures, and curated datasets on AWS (Glue, S3, Athena, Redshift) to support analytics, reporting, AI, and GenAI workloads. Day to day involves developing ingestion frameworks, implementing data quality checks, pipeline monitoring, and collaborating with architects, analytics engineers, and AI teams.
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.