DataOps/Cloud Data Engineer - Senior

Job Title: DataOps/Cloud Data Engineer - Senior

Location: Toronto, Ontario, Canada

Work Model: Onsite

Duration: 12 months

Extension: 1 Time

Supplier Comments

• Nice to have:
• Prior OPS/Public sector exp.
• Experience with Microsoft Purview and Microsoft Fabric

Must Haves

• 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.

Description / Responsibilities / Skills

Responsibilities

• Designing and developing data pipelines from source to end user
• Optimizing data pipelines

General Skills

• Experience in DataOPS principle, best practice, and implementation and Agile project development and deployment
• Experience in Continuous Integration/Continuous Development/Deployment (CI/CD) and Data provisioning Automation
• Experience with DataOPS performance monitoring and tuning
• A team player with a track record for meeting deadlines

Experience & 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.
• 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 Microsoft Fabric and Azure Data Services.
• Experience with Microsoft Purview.
• 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.