We are seeking a highly skilled Senior Data Engineer with extensive experience in designing, developing, and maintaining scalable data solutions within financial and regulatory domains.
The ideal candidate will lead end-to-end data architecture initiatives, integrate diverse data sources, and ensure data quality and accuracy across systems.
This role requires strong technical expertise, problem-solving skills, and the ability to collaborate effectively with global teams.
Key Responsibilities Collaborate with business stakeholders to gather technical specifications and translate business requirements into robust technical solutions.
Design and optimize data models and schemas for efficient integration and analysis.
Lead application development using Python, PySpark, SQL, Snowflake, and Databricks platforms.
Implement data validation procedures to maintain high data quality standards.
Conduct comprehensive testing (UT, SIT, UAT) in coordination with business and QA teams.
Provide ongoing support, troubleshooting, and maintenance in production environments.




Contribute to architecture and design discussions to ensure scalable and maintainable data solutions.
Required Qualifications Overall, 10 years of IT experience.
Advanced proficiency in Python, SQL Server, Data Warehousing (DWH), Azure Databricks, and PySpark.
Robust understanding of relational databases, ETL processes, and data modeling.
Must have recent Banking domain experience.
At least 3 days onsite in a week is required (Prefer Local candidates)
Expertise in system design, architecture, and implementing robust data pipelines.
Hands-on experience with data validation, quality checks, and automation tools (Autosys, Control-M).
Effective communication skills for collaboration with business analysts, users, and global teams.
Preferred Qualifications Experience with Snowflake.
Strong problem-solving and analytical skills.
Familiarity with financial and regulatory domain requirements.

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📌 Senior Data Engineer (Ontario)
🏢 Compunnel
📍 Ontario