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 up-to-date 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 servicesDevelop scalable ETL, ELT, and integration solutionsImplement DataOps automation, testing, monitoring,



and supportEnable metadata collection, lineage, and data qualitySupport migration, interoperability, and reusable data servicesRequirements:
Experience with Databricks, Delta Lake, and Databricks SQLKnowledge of Medallion ArchitectureExperience with Azure Data Services and Azure Data FactoryExperience with Informatica or equivalent integration platformsStrong analytical, organizational, and communication skillsApply cloud data engineering expertise across Databricks, Azure, scalable pipelines, metadata, lineage, and DataOps automation for HM.
#J-18808-Ljbffr

📌 Senior Azure Data Engineer Dataops (Winnipeg)
🏢 FlexStaf IT
📍 Winnipeg