Job Description
Elevate your career as a Principal Databricks Data Engineer in Toronto, leading data platform design and optimization.
Seeking an expert with strong Databricks and Apache Spark skills. This role is crucial for driving data initiatives and mentoring engineering teams in a cooperative environment. You will leverage your expertise in data lake architectures and financial risk data domains to deliver high-performance data solutions. The Principal Engineer will focus on optimizing data processes while ensuring compliance with regulatory requirements.
Key ResponsibilitiesArchitect and implement scalable solutions with Databricks
Design and manage enterprise data lake and warehouse platforms
Build robust ETL/ELT pipelines for vast datasets
Collaborate with Finance and Risk teams on analytics requirements
Lead cloud migration and data modernization initiatives
RequirementsExtensive experience with Databricks and Apache Spark
Strong knowledge of data lake architectures
Seeking an expert with strong Databricks and Apache Spark skills. This role is crucial for driving data initiatives and mentoring engineering teams in a cooperative environment. You will leverage your expertise in data lake architectures and financial risk data domains to deliver high-performance data solutions. The Principal Engineer will focus on optimizing data processes while ensuring compliance with regulatory requirements.
Key ResponsibilitiesArchitect and implement scalable solutions with Databricks
Design and manage enterprise data lake and warehouse platforms
Build robust ETL/ELT pipelines for vast datasets
Collaborate with Finance and Risk teams on analytics requirements
Lead cloud migration and data modernization initiatives
RequirementsExtensive experience with Databricks and Apache Spark
Strong knowledge of data lake architectures
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