Lead Data Engineer at RBC Toronto
Summary
Lead a team of data engineers to build scalable batch and streaming pipelines in Python/PySpark on Databricks and Azure, transforming security data into actionable intelligence for RBC’s Global Security team.
Join RBC Global Security as a Lead Data Engineer in Toronto. Drive innovative data solutions by spearheading a talented team while utilizing your expertise in Python and data engineering.
In this senior role, you'll lead a squad that transforms security data into actionable intelligence. You'll ensure effective delivery of data products by partnering with stakeholders, managing technical directions, and mentoring team members. Your hands-on experience will help shape streamlined processes and enhance performance across data operations.
Key Responsibilities: • Lead a team of data engineers and drive project delivery • Collaborate with product owners to prioritize actionable backlogs • Design scalable batch and streaming data pipelines • Maintain ETL/ELT workflows from diverse data sources • Champion engineering practices for code quality and process improvement
Requirements: • 6+ years of data engineering experience • Strong skills in Python and PySpark • Experience with Databricks and SQL • Familiarity with Azure cloud platforms • Proven knowledge of DevOps and CI/CD practices
Leverage your data engineering expertise to make a significant impact at RBC while fostering an innovative team environment.
In this senior role, you'll lead a squad that transforms security data into actionable intelligence. You'll ensure effective delivery of data products by partnering with stakeholders, managing technical directions, and mentoring team members. Your hands-on experience will help shape streamlined processes and enhance performance across data operations.
Key Responsibilities: • Lead a team of data engineers and drive project delivery • Collaborate with product owners to prioritize actionable backlogs • Design scalable batch and streaming data pipelines • Maintain ETL/ELT workflows from diverse data sources • Champion engineering practices for code quality and process improvement
Requirements: • 6+ years of data engineering experience • Strong skills in Python and PySpark • Experience with Databricks and SQL • Familiarity with Azure cloud platforms • Proven knowledge of DevOps and CI/CD practices
Leverage your data engineering expertise to make a significant impact at RBC while fostering an innovative team environment.