Apply on Kit Job: kitjob.ca/job/2fs2rk

Embrace the prospect as a Lead Data Engineer in a hybrid setting. Drive performance optimization and oversee the development of scalable ETL/ELT pipelines using leading-edge technologies.
In this key position, you will conduct code reviews and own the quality processes needed for data migrations, ensuring compliance with established governance policies. You'll utilize your expertise in Azure and Databricks to define architecture and best practices, collaborating effectively with diverse stakeholders to troubleshoot and enhance data solutions. Your role will significantly impact the overall data strategy.
Key Responsibilities:
• Conduct code reviews ensuring compliance with best practices
• Lead the development of data pipelines using PySpark
• Oversee data quality and governance initiatives




• Collaborate closely with stakeholders on data solutions
• Mentor and guide engineering professionals to enhance skills
Requirements:
• Profound knowledge of PySpark and Delta Lake necessary
• Solid experience with Azure technologies required
• Proven background in building Lakehouse architecture
• Understanding of Git and DevOps workflows beneficial
• Excellent stakeholder management skills
Leverage your data engineering expertise to enhance processes, optimize performance, and guide your team towards achieving remarkable outcomes in an innovative environment.
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Apply on Kit Job: kitjob.ca/job/2fs2rk

📌 Data Engineering Leader Focused on ETL Pipelines and Performance Optimization (Toronto)
🏢 CGI
📍 Toronto