Senior Data Engineer (Capital Markets Banking Experience Required) SDE 26-04661

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 .