Description

You will build and maintain data processing pipelines on AWS. This role is on-site.

Responsibilities

• Ingest and process data using AWS Redshift, S3, DMS, Glue, and Lambda.
• Build Infrastructure as Code using AWS CDK.
• Develop and maintain GitLab CI/CD pipelines for deployments.
• Create and manage AWS Glue ETL pipelines for structured and curated data.
• Optimize AWS environments for cost, performance, and security.

Required Skills

• 5+ years of experience in Cloud Data Engineering.
• 3+ years of hands-on experience with AWS CDK and AWS ETL pipelines.
• Strong expertise in Python and AWS services (S3, Lambda, Glue, Redshift, IAM).
• Experience with DMS, Cross Account Replication, and Zero-ETL setups.
• Solid understanding of data ingestion, modeling, and query optimization.
• Proficiency with AWS Redshift, S3, DMS, Glue, and Lambda.

Key Skills

Education

Any Gradate