Data Integration Lead
- Canada
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Job details
- Posting language
- English
- Posted
Original job description
Hands-on experience with Azure Databricks for data processing, data engineering, or analytics workflows. o Experience in pyspark, ADF, o Python experience o Hands-on experience with SQL, Specialized in modernizing legacy on-premise systems into cloud-native architectures using Azure Data Factory, Databricks and PySpark, resulting in significant gains in pipeline reliability and compute cost-efficiency. A people-focused leader recognized for implementing Medallion Architecture, robust Data Warehousing and CI/CD workflows while mentoring engineering teams to deliver actionable analytics and banking-grade security solution.
More about this job
Responsibilities
Lead the modernization of legacy on-premise systems into cloud-native architectures using Azure tools. Mentor engineering teams to implement robust data pipelines, Medallion Architecture, and banking-grade security solutions.
Requirements
Requires hands-on experience with Azure Databricks, PySpark, Python, and Azure Data Factory. Candidates must demonstrate expertise in SQL and the ability to lead teams in delivering actionable analytics.
Skills
- Azure Databricks
- Data Engineering
- Pyspark
- Azure Data Factory
- Python
- SQL
- Cloud-native Architectures
- Medallion Architecture
- Data Warehousing
- CI/CD
- Banking-grade Security
- Mentoring
- Analytics
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Technology
- Software
- Management & Leadership
- Engineering
Keywords
- Azure Databricks
- Data Engineering
- Pyspark
- Azure Data Factory
- Python
- SQL
- Cloud-native
- Medallion Architecture
- Data Warehousing
- CI/CD
- Banking-grade Security
- Analytics
- Data Pipelines
- Legacy Systems
- Cloud Migration