HM is looking for a Data Engineer - with the tech stack below: Must Have:

- Experience with Databricks, Delta Lake and Databricks SQL.
- Knowledge of Medallion Architecture.
- Experience with Azure Data Services/Azure Data Factory - Experience with Informatica or equivalent integration platforms.
- Experience operationalizing common data models and metadata repositories.

Experience and Skill Set Requirements General Skills (80%) - Demonstrated experience designing, implementing and supporting cloud-based data platforms and services.

- Experience developing scalable ETL/ELT processes, data pipelines and integration solutions.
- Experience implementing DataOps practices including deployment automation, testing, monitoring and operational support.
- Experience with cloud-native data engineering and up-to-date data platform architectures.
- Experience implementing metadata, lineage and data quality capabilities within cloud data environments.
- Experience developing integration solutions using APIs, event-driven architectures and batch or streaming technologies.
- Knowledge of data governance, security and operational best practices for cloud platforms.
- Experience automating metadata collection, data movement and operational processes.
- Experience supporting cloud modernization and data migration initiatives.
- Experience collaborating with architects, modellers and governance teams to operationalize data standards,



metadata and common data models.
- Knowledge of performance optimization and scalability considerations for cloud data platforms.
- Ability to troubleshoot complex technical problems and develop practical solutions.
- Strong analytical, organizational and communication skills.

Resource will support the following deliverables:

- Data pipelines and integration services - Automated metadata collection and synchronization processes - Cloud data platform implementation and configuration - Data quality and lineage enablement - CI/CD and DataOps automation - Data migration and interoperability services - Cloud-hosted data products and reusable data services - Metadata and governance platform integrations Desirable Skills (20%) - Experience with Databricks, Delta Lake and Databricks SQL.
- Knowledge of Medallion Architecture.
- Experience with Microsoft Fabric and Azure Data Services.
- Experience with Microsoft Purview.
- Experience with Informatica or equivalent integration platforms.
- Experience operationalizing common data models and metadata repositories.
- Experience with graph technologies and semantic repositories.
- Knowledge and understanding of AODA and related standards.
- Ability to meet tight deadlines and adapt to changing project priorities.

Nice to have

- Prior OPS/Public sector exp.
- Experience with Microsoft Purview and Microsoft Fabric

📌 DataOps/Cloud Data Engineer - Senior (Toronto)
🏢 FlexStaf IT
📍 Toronto