Lead Data Engineer At Toronto Hybrid
Bay Street Staffing
Elevate your career as a Lead Data Engineer with our team in Toronto, offering a hybrid work model. Drive innovative data solutions and architecture in an agile environment.
This Senior/Staff Data Engineer role entails developing robust data solutions while collaborating with business partners and stakeholders. You'll have a minimum of 8 years of experience in software and data engineering, complemented by expertise in Azure technologies including Data Factory, Databricks, and Azure DevOps. Your impact will facilitate fast, data-driven decision-making across the organization.
Key Responsibilities: - Design and implement scalable data solutions and analytics - Independently develop and ship complex features from start to finish - Build and maintain efficient data pipelines for various needs - Ensure data quality and integrity within data pipelines - Establish Azure infrastructure for self-service analytics
Requirements: - Minimum 8 years in software/data engineering - At least 2 years in a technical lead capacity - Strong understanding of data architecture patterns - Proficiency in Python and SQL, experience with PySpark - Knowledge of CI/CD practices using tools like Git
Drive innovation and excellence in data engineering as part of our Toronto-based team.#J-18808-Ljbffr
This Senior/Staff Data Engineer role entails developing robust data solutions while collaborating with business partners and stakeholders. You'll have a minimum of 8 years of experience in software and data engineering, complemented by expertise in Azure technologies including Data Factory, Databricks, and Azure DevOps. Your impact will facilitate fast, data-driven decision-making across the organization.
Key Responsibilities: - Design and implement scalable data solutions and analytics - Independently develop and ship complex features from start to finish - Build and maintain efficient data pipelines for various needs - Ensure data quality and integrity within data pipelines - Establish Azure infrastructure for self-service analytics
Requirements: - Minimum 8 years in software/data engineering - At least 2 years in a technical lead capacity - Strong understanding of data architecture patterns - Proficiency in Python and SQL, experience with PySpark - Knowledge of CI/CD practices using tools like Git
Drive innovation and excellence in data engineering as part of our Toronto-based team.#J-18808-Ljbffr
Vacancy posted more than 2 months ago
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