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
Robust communication skills for effective collaboration Bring your technical expertise to an exciting chance that champions both innovation and quality.

📌 Lead Data Architect In Finance Sector Mississauga (Canada)
🏢 Compunnel
📍 Canada