Data Engineer

5 days ago

Toronto, Ontario, Canada Rubicon Path Full time
About the Role

Rubicon Path is seeking an experienced Data Engineer to join our team. As a key member of our engineering team, you will be responsible for designing, developing, and maintaining large-scale data pipelines using Databricks, Delta Lake, and Azure.

Key Responsibilities
  • Design and implement ETL processes using Databricks, Delta Lake, and Azure Data Factory.
  • Develop and maintain data pipelines to ingest, transform, and store large-scale datasets.
  • Work closely with data architects and business teams to ensure efficient transformation and movement of data.
  • Develop high-quality ETL mappings/scripts/notebooks using Python, PySpark, and SQL.
  • Maintain and optimize existing ETL processes to improve performance and reduce timelines.
  • Liaise with Project Managers, Quality Assurance Analysts, and Business Intelligence Consultants to ensure successful project delivery.
Requirements

To succeed in this role, you must have:

  • 7+ years of experience working with SQL Server, T-SQL, Oracle, PL/SQL development or similar relational databases.
  • 2+ years of experience working with Azure Data Factory, Databricks, and Python development.
  • Experience building data ingestion and change data capture using Oracle Golden Gate.
  • Strong knowledge of Delta Lake for data management and optimization.
  • Familiarity with Databricks Workflows for scheduling and orchestrating tasks.
  • Solid understanding of the Medallion Architecture (Bronze, Silver, Gold) and experience implementing it in production environments.
  • Hands-on experience with CDC tools (e.g., GoldenGate) for managing real-time data.
  • Experience integrating Databricks with cloud storage solutions such as Azure Blob Storage, AWS S3, or Google Cloud Storage.
Preferred Qualifications
  • Certified in one or more of the following certifications: Databricks Certified Data Engineer Associate, Databricks Certified Professional Data Engineer, Microsoft Certified: Azure Data Engineer Associate, AWS Certified Data Analytics - Specialty, Google Cloud Professional Data Engineer.
  • Ability to collaborate effectively with cross-functional teams and communicate complex technical concepts to non-technical stakeholders.
  • Strong problem-solving skills and experience working in an Agile or Scrum environment.

Estimated salary range: $120,000 - $180,000 per year, depending on location and experience.

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