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Archiving Squad Data Engineer - EY
Data Engineer
Data Engineer focused on designing and executing ETL pipelines for application retirement and enterprise archival, leveraging SQL, Python, and AWS services to ensure secure, compliant data migration and long‑term storage.
About the role
Key Responsibilities
- Design, develop, and maintain robust ETL pipelines to extract, transform, and load data for application retirement and archival projects.
- Collaborate with data architects and business stakeholders to define archival requirements, data retention policies, and compliance standards.
- Implement data migration strategies using AWS services (S3, Glue, Redshift) and ensure data integrity and security throughout the process.
- Optimize query performance and storage costs for archived datasets, applying best practices in data partitioning and compression.
- Monitor and troubleshoot data pipelines, providing proactive solutions to minimize downtime and data loss.
Requirements
- 3+ years of experience in data engineering, with a strong focus on ETL and data migration.