Description
- Engage with Business and Analytics teams to understand and analyse existing SAS jobs and reporting pipelines.
- Conduct in-depth analysis and impact assessment of SAS-based workloads and recommend appropriate Python-based transformation solutions.
- Design and develop reusable, scalable, and maintainable Python/PySpark scripts for batch and real-time data processing in the cloud environment.
- Translate SAS data processing logic into Python or PySpark code ensuring functional parity and performance optimization.
- Collaborate with Data Engineers, BI Analysts, and QA teams to ensure end-to-end solution quality.
- Assist in data validation and reconciliation to confirm migration completeness and correctness.
- Provide mentorship and technical guidance to other team members during the conversion project.
- Document all conversion patterns, business rules, and technical specifications.
- Stay updated with industry trends and b...
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