Drive data innovation at the forefront of Capital Markets as a Data Engineer. Utilize Azure Databricks and advanced data modeling to enhance financial analytics and reporting.

This Data Engineer role focuses on Capital Markets, requiring expertise in designing and maintaining complex data models. You will lead Source-to-Target Mapping documentation while optimizing data architectures in Azure Databricks and ADLS Gen2. By ensuring temporal requirements are met for financial reporting, you'll help streamline analytical processes for trade execution and portfolio management.

Key Responsibilities:
• Design logical and physical data models for financial domains
• Lead comprehensive Source-to-Target Mapping documentation




• Create Delta Lake structures for productive data processing
• Implement optimized partitioning for time-series data
• Utilize Unity Catalog for data governance and security

Requirements:
• Over 5 years in Capital Markets or Wealth Management
• 7+ years of data modeling experience with Azure tools
• Proven STM documentation expertise
• Expert in Spark SQL and PySpark optimization
• Hands-on with Delta Lake and data governance initiatives

Shape the future of Capital Markets data with your modeling expertise and technical skills.
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📌 Capital Markets Data Engineer Role (Ontario)
🏢 Socket.dev
📍 Ontario