21 days ago
Vancouver, CanadaSenior
Base Salary
$84k - $130k/yr
Responsibilities
- Lead and manage a team of data engineers.
- Oversee data engineering projects and ensure technical excellence.
- Build reliable and scalable data infrastructure and data solutions.
- Drive data migration, data modeling, data quality, and ETL/ELT processing initiatives.
- Foster collaboration with stakeholders and support data-driven organizational objectives.
Requirements
- Experience with data migration, data modeling, data quality, and ETL/ELT processing.
- Experience with Azure Data Services, Azure Databricks, PySpark, and SQL.
- Microsoft Fabric and Power BI experience are nice to have.
- Ability to lead data engineering teams and oversee technical projects.
Benefits
- Base compensation range of $83,951 to $130,000 per year.
- Paid time off, including vacation, company holidays, personal days, and sick leave, based on employee grade and policy.
- Medical, dental, and vision coverage, or provincial healthcare coordination in Canada.
- Retirement savings plans such as 401(k) in the U.S. and RRSP in Canada.
- Life and disability insurance and employee assistance programs.
- Additional benefits may be available based on local policy and eligibility.
Tech Stack
DatabricksSQL
Categories
Data Engineering
About Capgemini
Capgemini is a global IT services and consulting firm that delivers strategy, cloud, AI, software engineering, and managed services to large enterprises and public-sector clients. Founded in 1967 and headquartered in Paris, it is publicly traded on Euronext Paris and operates in 50+ countries. The group expanded its engineering capabilities by acquiring Altran in 2020, now operating as Capgemini Engineering.