JD:
Required Skills & Qualifications
Industry Expertise: 5 years of experience in Capital Markets or Wealth Management with a deep understanding of financial instruments and trade lifecycles.
Technical Modeling: 7 years of experience in data modeling with a mastery of Azure Databricks and ADLS Gen2.
STM Mastery: Proven track record of creating highly detailed Source-to-Target Mappings for complex data migration or integration projects.
Data Engine Proficiency: Expert-level Spark SQL and PySpark. Ability to optimize data structures for the Spark Catalyst Optimizer.
Storage Formats: Expertise in Delta Lake (ACID transactions Time Travel) and Parquet optimization.
Governance: Hands-on experience implementing data governance and security via Unity Catalog.
Technical Stack
Compute: Azure Databricks (Jobs SQL Warehouses).
Storage: ADLS Gen2 (Delta/Parquet).
Governance: Unity Catalog.
Analysis Tools: SQL Python Excel (for data profiling).
Documentation: Confluence/Visio for STM and ERDs.
Data Business Analyst Toronto • Toronto, Ontario, Canada
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