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
Robust analytical, organizational, and communication skills
Apply cloud data engineering expertise across Databricks, Azure, scalable pipelines, metadata, lineage, and DataOps automation for HM.

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📌 Senior Azure Data Engineer DataOps (Ontario)
🏢 FlexStaf IT
📍 Ontario