Senior Data Specialist

Required Skills & Experience • 5+ years of experience of hands-on data engineering and development • Designing and implementing silver-to-gold pipelines in Databricks • Developing complex business transformations using PySpark, Python, and SQL • Experience validating the data - building metrics, how to approach reconciliation, etc. Nice to Have Skills & Experience • Insurance experience Job Description Insight Global is looking for a Senior Data Integration Specialist for one of Canada's leading insurance companies. This individual will join a team supporting a strategic data modernization initiative focused on delivering reliable, analytics-ready data to pricing and actuarial teams. The role is highly hands-on and centered around building and enhancing data pipelines, developing business-ready datasets, validating and reconciling data, and troubleshooting complex integration challenges. This is an opportunity to play a key role in productionizing a critical solution while contributing to the organization's migration from Synapse to Databricks.

The role focuses on building and enhancing data pipelines and developing business-ready datasets for pricing and actuarial teams. It involves productionizing a critical solution and supporting the migration from Synapse to Databricks.

Candidates need over 5 years of hands-on data engineering experience, specifically with PySpark, Python, and SQL. Proficiency in designing silver-to-gold pipelines in Databricks and validating data metrics is required.

• SQLPreferred
• PythonPreferred

Identified from the job description. Confirm important requirements above.

• Data Engineering
• Databricks
• PySpark
• Python
• SQL
• Data Validation
• Data Reconciliation
• Data Pipelines
• Insurance Industry Knowledge

• Data & Analytics
• Technology
• Consulting
• Software
• Engineering

Minimum experience

5+ years

Posting language

English

Working hours

40 hours per week

Seniority

Associate

Application method

Direct apply is available