Lead Data Engineer for Top Bank
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Summary
Lead enterprise data engineering projects at a premier Toronto bank through Insight Global, managing a team of data engineers and ensuring data flow, storage, and integration. Core stack includes Azure data services, Medallion Architecture, Microsoft Fabric, T-SQL, PySpark, and Python in a hybrid role.
Become a Lead Data Engineer with Insight Global at a premier bank in Toronto. This hybrid role blends data engineering with security risk support and offers team leadership opportunities.
As a Lead Data Engineer, you will head enterprise data engineering projects while collaborating with stakeholders to ensure seamless data flow and integration. Your extensive knowledge of technologies like Medallion Architecture and Microsoft Fabric will be crucial for success in this position, which demands strong hands-on experience with Azure data services and effective communication skills.
Key Responsibilities: • Oversee design and development of data engineering projects • Lead a team of data engineers in technical execution • Ensure efficient data flow, storage, and integration • Collaborate with stakeholders to align on data needs • Implement best practices in data governance and architecture
Requirements: • 7+ years of experience as a Data Engineer • Proficient in T-SQL, Pyspark, and Python • Strong knowledge of Azure data services • Experience with data modeling and virtualization • Microsoft Certified Azure Data Engineer Associate.
Leverage your expertise in data engineering and cloud technologies to drive impactful projects with Insight Global.
As a Lead Data Engineer, you will head enterprise data engineering projects while collaborating with stakeholders to ensure seamless data flow and integration. Your extensive knowledge of technologies like Medallion Architecture and Microsoft Fabric will be crucial for success in this position, which demands strong hands-on experience with Azure data services and effective communication skills.
Key Responsibilities: • Oversee design and development of data engineering projects • Lead a team of data engineers in technical execution • Ensure efficient data flow, storage, and integration • Collaborate with stakeholders to align on data needs • Implement best practices in data governance and architecture
Requirements: • 7+ years of experience as a Data Engineer • Proficient in T-SQL, Pyspark, and Python • Strong knowledge of Azure data services • Experience with data modeling and virtualization • Microsoft Certified Azure Data Engineer Associate.
Leverage your expertise in data engineering and cloud technologies to drive impactful projects with Insight Global.