Databricks Engineer

3 days ago


Toronto, Ontario, Canada micro1 Full time $100,000 - $130,000 per year

Job Title: Databricks Engineer

Location: Toronto, Canada (Hybrid)

Job Type: Full-time (Contract)

Key Responsibilities:


• Design, develop, and maintain scalable and efficient data pipelines using
Databricks, PySpark, Delta Lake
, and Azure technologies.


• Build new data workflows and enhance existing pipelines to improve performance, scalability, and reliability.


• Architect and implement ETL processes aligned with data governance and quality standards.


• Develop data models and optimize SQL scripts for large datasets.


• Collaborate closely with cross-functional teams in an agile environment to deliver production-ready solutions.


• Troubleshoot and resolve complex data issues, including performance bottlenecks and workflow failures.


• Participate in architecture, design reviews, and technical discussions to guide data engineering best practices.


• Work with Azure components such as
ADLS, ADF, Synapse
, and integrate data from SQL-based sources including MySQL.

Required Skills & Qualifications:


• 3–8 years of hands-on data engineering experience with a strong focus on
Azure Databricks
.


• Strong proficiency in
PySpark, SQL, Delta Lake
, and pipeline optimization.


• Solid understanding of ETL design principles, data modeling, and data governance frameworks.


• Experience working with
Azure Data Lake Storage (ADLS)
,
Azure Data Factory (ADF)
, and enterprise-level data systems.


• Experience integrating and transforming data from SQL sources, especially
MySQL
.


• Strong analytical, troubleshooting, and debugging skills in large-scale data environments.


• Excellent communication skills with the ability to articulate complex technical concepts.


• Ability to work independently and collaboratively within an agile team structure.


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