Build cloud data platforms with Databricks, Azure Data Services, and DataOps practices as a Senior Azure Data Engineer for HM. Design scalable pipelines and integrations supporting modern data environments.
This senior data engineering position focuses on implementing and supporting cloud-based data platforms and services. You will develop ETL and ELT processes, apply deployment automation, testing, monitoring, and operational support, and enable metadata, lineage, and data quality. The work includes collaboration with architects, modellers, and governance teams.
Key Responsibilities:
- Design and support cloud-based data platforms and services
- Develop scalable ETL, ELT, and integration solutions
- Implement DataOps automation, testing, monitoring, and support
- Enable metadata collection, lineage, and data quality
- Support migration, interoperability, and reusable data services
Requirements:
- Experience with Databricks, Delta Lake, and Databricks SQL
- Knowledge of Medallion Architecture
- Experience with Azure Data Services and Azure Data Factory
- Experience with Informatica or equivalent integration platforms
- Strong analytical, organizational, and communication skills
Apply cloud data engineering expertise across Databricks, Azure, scalable pipelines, metadata, lineage, and DataOps automation for HM.
Senior Azure Data Engineer DataOps in Toronto employer: Flexstaf IT
Flexstaf IT is an exceptional employer located in Nepean, Ontario, offering a dynamic work culture that fosters innovation and collaboration. Employees benefit from comprehensive professional development opportunities, competitive compensation, and a supportive environment that values work-life balance. Join us to be part of a forward-thinking team dedicated to transforming enterprise architecture and security operations.
