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