Principal Data Engineer at Databricks

Lead transformative data engineering initiatives as a Principal Data Engineer at Databricks in Toronto, Ontario. Focus on modernizing platforms, supporting finance teams, and mentoring talent within an innovative environment.

Your expertise in Spark-based data engineering and financial risk data will be crucial in this role. As a Principal Databricks Data Engineer, you will design and develop scalable solutions while collaborating with stakeholders. This position emphasizes creating efficient ETL/ELT pipelines and enhancing existing Spark workloads.

Key Responsibilities: • Lead the implementation of scalable data solutions • Design and maintain data lakes and warehouses • Create effective ETL/ELT pipelines for large datasets • Partner with Finance teams on regulatory solutions • Enhance Spark workloads for reliability and efficiency

Requirements: • Proven expertise with Databricks and Apache Spark • Familiarity with lakehouse architectures • Hands-on experience with AWS, Azure, or GCP • Robust programming in Python or Scala • Background in data governance and security frameworks

Drive excellence in data engineering and leverage your skills at Databricks in Toronto. #J-18808-Ljbffr