Explore a Senior Data Engineer role where you will lead the design and development of scalable data solutions for financial applications. This position prioritizes data quality and integration.

The ideal candidate will bring extensive experience in financial and regulatory domains, leading data architecture discussions and implementing robust pipelines. Proficiency in Python, SQL, and Databricks is essential to meet business demands and collaborate effectively with teams globally.

Key Responsibilities:
• Collaborate to gather and define technical specifications
• Optimize schemas and data integration methods
• Lead application development across diverse platforms
• Maintain high standards through robust validation processes
• Coordinate testing efforts with QA teams

Requirements:
• Ten years of IT experience required
• Advanced skills in Python, SQL Server, and PySpark
• Relevant banking experience necessary
• Experience with data modeling and automation tools
• Strong communication skills for effective collaboration

Bring your technical expertise to an exciting prospect that champions both innovation and quality.
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📌 Lead Data Architect in Finance Sector (Ontario)
🏢 Compunnel
📍 Ontario