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Open nowFirst seen 38 hours ago

RQ11576 - DataOps/Cloud Data Engineer - Senior

Flexstaf IT83 open roles

Where
Toronto, ON, Canada
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Your applicationOpen nowRQ11576 - DataOps/Cloud Data Engineer - SeniorFlexstaf IT · Toronto, ON, Canada

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The clock on this job

Early applications get read.

11.9% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.9%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: first seen 38 hours ago

The posting

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 modern 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
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