Description

You will build and maintain scalable data pipelines and analytics solutions.

This role is on-site.

Responsibilities

• Design, build, and maintain ETL/ELT data pipelines using AWS services.
• Develop event-driven and serverless data workflows using AWS Lambda.
• Create optimized queries and data schemas in AWS Athena and Glue Data Catalog.
• Integrate data from multiple systems into centralized analytical datasets.
• Implement data quality checks, monitoring, and exception handling.

Required Skills

• 5+ years of Data Engineering experience.
• Strong experience with AWS Athena, Lambda, Glue, Step Functions, and S3.
• Expertise in Python programming for ETL, automation, and AWS SDK usage.
• Strong SQL skills, including partitioning, optimization, and performance tuning.
• Experience with CI/CD pipelines and DevOps tools (CodePipeline, Git).
• Understanding of data lakes, data warehousing, and lakehouse patterns.

Key Skills

Education

Any Graduate