Position : Azure Data Engineer
Location : Toronto, On
Responsibilities
- Design, build, and maintain scalable and performant data pipelines and ETL workflows using Azure Databricks and PySpark.
- Work with Azure Data Lake Storage (ADLS) to ingest, transform, and manage large datasets.
- Develop, optimize, and troubleshoot SQL queries for data processing and analytics.
- Build and orchestrate data workflows via Azure Data Factory (ADF).
- Implement best practices for functional programming, data governance, security, and performance tuning.
- Collaborate closely with cross-functional stakeholders in an Agile environment to deliver high-quality data solutions.
- Ensure compliance with enterprise data standards and support production deployments.
- Participate in code reviews, sprint planning, and backlog refinement.
Must-Have Skills
- Databricks – strong hands-on experience
- PySpark – expert-level data transformation and pipeline development
- ADLS – deep understanding of data lake structures, ingestion, and orchestration
Regards
Patrick Fernandez
Talent Acquisition Group - Strategic Recruitment Manager