Sr. SSIS Data Integration Engineer

Role : Integration Engineer Location : Ottawa / Toronto (Hybrid) Skills: Strong focus on Snowflake, SQL, SSIS, Python, Data Warehouse, Databricks JD: This position is for an Integration engineer with a background in SSIS, Python, SQL and data warehousing for enterprise level systems. The position calls for someone that is comfortable working with business users along with business analyst expertise. Major Responsibilities: • Provide Level 2/3 support of existing ETL processes. • Monitor and troubleshoot Scheduled ETL jobs, identify and resolve issues or bottlenecks. • Proficient in developing ETL processes in SSIS, Python and SQL (SQL Server / Oracle) • Proficient writing SQL queries and programming including stored procedures and reverse engineering existing process. • Build and optimize data pipelines for efficient data ingestion, transformation and loading from various sources while ensuring data quality and integrity. • Working with structured, semi structured and unstructured data. • Implement best practices for data management, security, and governance. • Perform code reviews to ensure fit to requirements, optimal execution patterns and adherence to established standards. Required Skills: • 5+ years SSIS development experience • 5+ years Python coding experience. • 5+ years SQL Server based development of large datasets Additional Skills: • Experience in Financial Services industry • Experience with Enterprise Schedulers / Orchestration platforms such as Tidal, Airflow. • Experience in any cloud data warehouse like Snowflake. • Experience in Data warehousing - OLTP, Dimensions, Facts, and Data modeling. • Experience with Cloud based data architectures, messaging, and analytics. • Experience with developing and deploying ETL pipelines using Databricks Pyspark. Education: • Minimally a BA/BS degree within an engineering and/or computer science discipline • Master’s degree preferred

The role involves providing Level 2/3 support for ETL processes and monitoring scheduled jobs to resolve bottlenecks. The engineer will build and optimize data pipelines for efficient ingestion and transformation while ensuring data quality and security.

Candidates must have over 5 years of experience in SSIS, Python, and SQL Server development for large datasets. A bachelor's degree in engineering or computer science is required, with a master's degree preferred.

Identified from the job description. Confirm important requirements above.

• Snowflake
• SQL
• SSIS
• Python
• Data Warehouse
• Databricks
• PySpark
• ETL
• Data Modeling
• Oracle
• SQL Server
• Tidal
• Airflow
• Data Governance
• Data Pipelines
• Financial Services

Minimum education

Bachelor’s degree

Minimum experience

5+ years

Apply by

Aug 26, 2026