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