Aws Data migration Engineer

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.