Roles & Responsibilities:
1.Data Engineer to lead or drive the migration of legacy SAS data preparation jobs to a modern Python-based data engineering framework.
2.Should have deep experience in Python and GCP, strong knowledge of data transformation workflows, and a solid understanding of database systems and ETL best practices.
3.Should analyze existing SAS data preparation and data feed scripts and workflows to identify logic and dependencies.
4.Should translate and re-engineer SAS jobs into scalable, efficient Python-based data pipelines.
5.Collaborate with data analysts, scientists, and engineers to validate and test converted workflows.
6.Optimize performance of new Python workflows and ensure data quality and consistency.
7.Document migration processes, coding standards, and pipeline configurations.
8.Integrate new pipelines with Google Cloud Platforms as required.
9.Provide guidance and support for testing, validation, and production deployment