AWS Cloud Data Engineer
Build AWS-native data lakes, Redshift warehouses, and ingestion pipelines for analytics and migration programs.
Data EngineeringRemoteRemoteNow Hiring
About the role
Support clients migrating from on-premises warehouses to AWS. You will implement data lakes on S3, Redshift analytics workloads, Glue/Step Functions orchestration, and governed reporting layers.
Key responsibilities
- Design and implement ETL/ELT pipelines using AWS Glue, Lambda, Step Functions, and MWAA.
- Build and optimize Redshift, Athena, and S3-based lakehouse patterns.
- Implement IAM-based security, row-level access, and cost monitoring for AWS data platforms.
- Develop CI/CD pipelines for infrastructure and data code using Terraform and GitHub Actions.
- Collaborate on migration assessments, cutover planning, and production support.
Qualifications
- 4+ years of AWS data engineering experience with production pipeline delivery.
- Strong Python and PySpark skills for data transformation and automation.
- Experience with the AWS data stack (S3, Glue, Redshift, Athena, Lambda).
- Solid understanding of data modeling, partitioning, and query performance tuning.