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RQ11576 - DataOps/Cloud Data Engineer - Senior

  • Toronto, ON, Canada
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Job details

Posting language
English
Posted

Original job description

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
More about this job

Responsibilities

The Data Engineer at Flexstaf IT will build data pipelines, cloud data platforms and automated deployment processes. They will also make data traceable and high quality, and help move data to new systems.

Requirements

Candidates need hands-on experience with Databricks, Delta Lake, Azure Data Factory and Informatica, plus building scalable ETL pipelines and DataOps practices. Knowledge of Medallion Architecture and common data models is also required.

Skills

  • Databricks
  • Delta Lake
  • Databricks SQL
  • Medallion Architecture
  • Azure Data Factory
  • Azure Data Services
  • Informatica
  • DataOps
  • CI/CD
  • ETL/ELT
  • data pipelines
  • APIs
  • event-driven architecture
  • batch and streaming
  • metadata management
  • data lineage
  • data quality
  • data governance
  • data migration
  • cloud data platform architecture
  • performance optimization
  • automation
  • Microsoft Fabric
  • Microsoft Purview
  • graph technologies

Categories

  • Software
  • Technology
  • Data & Analytics
  • Consulting

Keywords

  • Databricks
  • Delta Lake
  • Databricks SQL
  • Medallion Architecture
  • Azure Data Factory
  • Azure Data Services
  • Informatica
  • DataOps
  • CI/CD
  • ETL
  • ELT
  • data pipelines
  • data engineering
  • cloud data platform
  • metadata management
  • data lineage
  • data quality
  • data governance
  • data migration
  • Microsoft Fabric

Seniority

Senior

Tools

  • Databricks
  • Delta Lake
  • Azure Data Factory
  • Informatica
  • Microsoft Fabric
  • Microsoft Purview

Languages

  • English

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