Lead Data Engineer
Vancouver, BCCapgemini
Candidates need experienced, expert-level Spark (PySpark) skills, hands-on Azure data pipeline development, experience with Azure Data Factory or Airflow, strong SQL and denormalized big data modeling. Databricks and Jupyter, Colab or Databricks notebooks are preferred.
Databricks, PySpark, Delta Lake, Azure Data Factory, Airflow, Jupyter Notebooks
Lead Data Engineer
Vancouver, BCCapgemini
Candidates need strong, hands-on experience with PySpark and Databricks, plus Python, SQL, Delta Lake and cloud platforms such as Azure or AWS. Experience with orchestration tools like Azure Data Factory or Airflow and with leading data engineering teams is expected.
Databricks, PySpark, Delta Lake, Azure Data Factory, Airflow, Jupyter Notebooks
Terraform Developer
Toronto, ONCapgemini
Candidates need solid hands-on experience with Terraform, Azure, Kubernetes and CI/CD pipelines, plus Python and version control tools. Familiarity with Databricks or Snowflake and prior experience integrating SaaS solutions with enterprise systems are also required.
Terraform, Azure, Kubernetes, Databricks, Snowflake, Python
Business Systems Analyst
Toronto, ONCapgemini
8+ ansCandidates need 8 years of business systems analysis experience in enterprise environments, with knowledge of SDLC and Agile, REST APIs and microservices, and large transactional datasets. Strong data mapping, data quality skills and experience with Power BI or Tableau are also needed.
Power BI, Tableau, JSON, XML