Elevate your career as a Senior Data Engineer specializing in financial data solutions. This role focuses on designing and optimizing scalable data architecture while ensuring data integrity and quality. We are looking for a highly skilled candidate to lead initiatives within financial and regulatory domains.

This position emphasizes a robust technical foundation with expertise in Python, SQL, Databricks, and PySpark. Collaboration with global teams is essential for translating business requirements into effective data solutions. Key Responsibilities:
Collaborate with stakeholders to gather and translate specifications
Design and optimize data models for analysis
Lead development with Python, PySpark, SQL, and Databricks
Implement data validation for quality standards
Conduct testing with business and QA teams Requirements:
10 years of IT experience
Proficient in Python, SQL Server, and data warehousing
Recent banking domain experience
Solid understanding of ETL and data modeling
Excellent communication skills for collaboration Utilize your expertise in data engineering to drive impactful solutions in the financial sector.

📌 Senior Data Engineer In Finance Mississauga (Canada)
🏢 Compunnel
📍 Canada