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Databricks ETL Engineering Specialist
2 months ago
We are seeking an experienced Databricks ETL engineer to support our data warehousing, data lakes, and analytics initiatives. As a key member of our team, you will be responsible for designing, developing, and maintaining efficient ETL pipelines using Databricks and related tools.
Key Responsibilities- Design and implement scalable ETL processes to ingest, transform, and store large-scale datasets in Databricks.
- Collaborate with data architects and business teams to ensure effective data transformation and movement, including Change Data Capture (CDC) and streaming data.
- Utilize Databricks, Delta Lake, and Spark to process both structured and unstructured data, ensuring optimal performance and data quality.
About the Role
This is a 5-month contract position, with the possibility of extension. You will work in a hybrid environment, combining remote and on-site collaboration with our team based in Toronto.
Requirements
Technical Skills- Proven experience in developing ETL pipelines using Databricks, with a strong understanding of Delta Lake for data management and optimization.
- Hands-on experience with CDC tools, such as GoldenGate, for managing real-time data ingestion.
- Familiarity with Databricks Workflows for scheduling and orchestrating tasks.
- Certification in one or more data engineering disciplines, such as Databricks Certified Data Engineer Associate or Microsoft Certified: Azure Data Engineer Associate.
- Experience with Unity Catalog for managing data governance, access control, and compliance.
- Strong knowledge of Python, PySpark, and SQL for data manipulation and transformation.
Salary Range
The estimated salary for this role is $120,000 - $150,000 per year, depending on experience and qualifications.