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S.i. Systems
Data Engineering Team Lead to support the development, deployment, and support of data solutionsS.i. Systems • Vancouver
Data Engineering Team Lead to support the development, deployment, and support of data solutions

Data Engineering Team Lead to support the development, deployment, and support of data solutions

S.i. Systems • Vancouver
30+ days ago
Salary
CA$125.00 daily
Job type
  • Permanent
Job description

Our Financial Services Client is looking for a Data Engineering Team Lead to provide technical leadership and direction for the organization’s data engineering capabilities.

Overview: The role sets engineering standards, designs scalable and secure data architectures, and leads to complex, cross-team data initiatives. While remaining hands-on, you will influence platform strategy, mentor engineers, and ensure alignment with enterprise architecture, governance, and business priorities.

This is Permanent role, % Remote, Vancouver, BC preferred, open to BC, Ontario candidates.

Must Have:

  • 8+ years of industry experience in Data Engineering with lead/mentoring/guiding junior resources and related field handling data processing and transformation of disparate datasets, data modelling
  • Experience with big data and analytics programming languages such as Python, R, Spark in Databricks
  • Experience with batch and real-time processing frameworks (EventHub, Apache Spark, Apache Kafka, etc.)
  • Experience with Azure Data Lake, Azure Data Factory, Azure Databricks, Semarchy and EventHub
  • Understanding of data storage, mapping, modeling, and real-time data handling
  • Strong ability to innovate and adapt to emerging technologies
  • Excellent problem-solving skills and ability to manage competing priorities
  • Exposure to DevSecOps practices and security-first principles
  • Bachelor’s degree in computer science or related technical discipline

Nice to Have:

  • Master’s degree in Data Science, Analytics, or Business Administration (MBA)


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Data Engineering Team Lead to support the development, deployment, and support of data solutions and data modernization platform. • Vancouver

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