Senior Data Engineer (Capital Markets / Banking Experience Required)
Location: Mississauga, ON (Hybrid – 3 days/week onsite)
Interview Mode: In-person interview required
Note: Pay rates are listed in Canadian Dollars (CAD), not USD.
Overview
A leading organization in the financial services sector is seeking a skilled Data Engineer with expertise in Databricks, Snowflake, Python, PySpark, SQL, and Release Management. The ideal candidate will have a strong background in the banking domain and will be responsible for designing, developing, and maintaining robust data pipelines and systems to support critical business operations and analytics.
Key Responsibilities
- Design, develop, and maintain scalable and efficient data pipelines using Snowflake, PySpark, and SQL
- Write optimized and complex SQL queries for data extraction, transformation, and loading (ETL/ELT)
- Develop and implement data models, schemas, and architectures aligned with banking domain requirements
- Collaborate with data analysts, data scientists, and business stakeholders to gather and translate data requirements
- Automate data workflows and ensure data quality, accuracy, and integrity
- Manage and coordinate release processes for data pipelines and analytics solutions
- Monitor, troubleshoot, and optimize data system performance
- Ensure compliance with data governance, security, and privacy standards
- Maintain comprehensive documentation of data architecture, pipelines, and processes
- Stay current with industry trends and incorporate best practices
Required Skills & Experience
- Proven experience as a Data Engineer or in a similar role
- Strong expertise in Snowflake, Python, PySpark, and SQL
- Solid understanding of data warehousing concepts and cloud-based data platforms
- Hands-on experience with release management, deployment, and version control
- Experience with ETL/ELT processes and tools
- Strong knowledge of data governance, security, and privacy standards
- Domain experience in banking or financial services
- Excellent problem-solving, analytical, and communication skills
Preferred Qualifications
- Experience with Azure and Databricks
- Knowledge of Apache Kafka or other streaming technologies
- Familiarity with DevOps practices and CI/CD pipelines
- Prior experience in capital markets or financial services environments
For more details reach at resumes@navitassols.com.