Senior Data Engineer - Hybrid (Toronto) Spark/Python/Azure

Johnson Service Group, Inc.; Toronto; Hybrid; CAD 90,000 - 120,000; Full time

Job summary

Johnson Service Group (JSG) in Toronto is looking for a senior Data Engineer who can take ownership of end-to-end data solutioning. You will design, develop, and maintain scalable data pipelines and analytics using Python, SQL, Scala, Spark, and Databricks, with Azure cloud services.

The role is hybrid (3 days per week in Toronto) and requires independent problem solving, strong communication with stakeholders, and a track record of delivering data-driven insights and dashboards using Tableau or

Qualifications

• Strong Python and SQL skills with data manipulation and optimization capabilities.
• Experience with Databricks or similar data engineering platforms.
• Proficiency in Tableau or Power BI for reporting and visualization.
• Knowledge of ETL tools such as Informatica, Talend, or Azure Data Factory.
• Understanding of data modeling, data governance, and performance tuning.
• Ability to translate business problems into scalable data solutions.

Responsibilities

• Engage with stakeholders to understand business and operational challenges.
• Analyze problems and independently propose tech-driven solutions.
• Design, develop, and maintain scalable data pipelines and dashboards.
• Implement ETL workflows and data models using Python, SQL, and Databricks.
• Develop analytical reports and visualizations using Tableau or Power BI.
• Collaborate with cross-functional teams to ensure seamless solution delivery.
• Ensure code quality, reusability, and adherence to best practices.

Skills

Python

SQL

Databricks

Tableau

Power BI

Data modeling

Data governance

Performance tuning

Tools

Databricks

Informatica

Talend

Azure Data Factory

Tableau

Power BI

Job description

Johnson Service Group (JSG) in Toronto is looking for a senior Data Engineer who can take ownership of end-to-end data solutioning. You will design, develop, and maintain scalable data pipelines and analytics using Python, SQL, Scala, Spark, and Databricks, with Azure cloud services.

The role is hybrid (3 days per week in Toronto) and requires independent problem solving, strong communication with stakeholders, and a track record of delivering data-driven insights and dashboards using Tableau or