Job Title : Databricks Developer
Job Type : Full-time (Contract)
Location : Toronto (Hybrid)
Job Summary
Join our customer’s team as a Databricks Developer and play a pivotal role in the design, development, and optimization of scalable data solutions. You will be responsible for creating robust data pipelines and ensuring high performance of production data systems in a cutting‑edge Azure environment. This is an exciting opportunity to build innovative data workflows from scratch, solve complex data challenges, and drive business impact.
Key Responsibilities
- Design, implement, and maintain performant data pipelines using Databricks, PySpark, Delta Lake, and Azure technologies.
- Build new data workflows as well as enhance and optimize existing pipelines for scalability and reliability.
- Develop data models and apply advanced ETL design principles, ensuring consistency with data governance standards.
- Collaborate closely with an agile scrum team, taking ownership of assigned stories and delivering high-quality, production‑ready solutions.
- Troubleshoot and resolve data issues, performing root‑cause analysis and optimizing for performance.
- Participate in architecture and design discussions, offering technical insights while maintaining a hands‑on development focus.
- Utilize Azure tools such as ADLS, ADF, and Synapse as applicable in pipeline development.
Required Skills and Qualifications
3–8 years of hands‑on data engineering experience, with a focus on Azure Databricks.Proficiency in PySpark, SQL, Delta Lake, and data pipeline optimization.Deep understanding of ETL processes, data modeling concepts, and data governance.Experience working with MySQL and integrating SQL‑based workflows within pipelines.Familiarity with Azure Data Lake Storage (ADLS), Azure Data Factory (ADF), and other Azure components.Strong written and verbal communication skills, with the ability to clearly articulate technical concepts.Ability to work independently and collaboratively within an agile, customer‑focused team.Preferred Qualifications
Experience with Unity Catalog and advanced Databricks Workflows.Exposure to DevOps practices including Git and CI / CD.Demonstrated problem‑solving and debugging skills in complex data environments.#J-18808-Ljbffr