b) Technical Expertise

Proven experience converting SAS EG code to PySpark, SQL, and/or R

Familiarity with SAS macros , data steps, and PROC SQL

Experience with Databricks notebooks, Delta Lake, and Spark SQL

Ability to optimize PySpark code for performance and scalability

c) Mainframe & DB2 Integration

Experience accessing DB2 data via ODBC/JDBC or ETL tools

Familiarity with mainframe systems (JCL, COBOL, IMS)

Ability to replicate or migrate data from DB2 to cloud data lake

d) Tooling & Automation

Use of SAS-to-PySpark conversion tools (e.g., SAS2PY, SPROCKET, Scintilla, AI tools)

Automated testing and validation frameworks for data parity

Schema mapping and lineage tracking capabilities

e) Project Delivery & Governance

Experience successfully onboarding with client systems.

Clear documentation of conversion logic and testing results

Version control and CI/CD integration (e.g., Git, Azure DevOps)

Compliance with internal data governance and security policies

Databricks Platform

Databricks Certified Data Engineer Associate or Professional

Databricks Certified Machine Learning Associate or Skilled

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📌 Data Engineer (Manitoba)
🏢 Epsilon Solutions
📍 Manitoba