Azure Data Engineering Technologist

Build enterprise data pipelines at ATCO using Azure Databricks, Python, and SQL to deliver trusted analytics solutions across the business.

As a Data and Analytics Technologist, you will design, build, and support enterprise data pipelines, data products, and analytics solutions. You will work with architects, analysts, developers, and platform teams to deliver scalable, reliable, secure, and cost-effective data solutions. Your work will support informed decision-making across ATCO.

Key Responsibilities:

• Design scalable pipelines and ELT/ETL processes across enterprise data sources
• Develop data products, transformations, and enrichment processes
• Maintain ATCO’s Enterprise Data Lakehouse using Microsoft Fabric and Databricks
• Build optimized warehouse, lakehouse, and semantic model solutions
• Monitor pipelines, resolve incidents, and provide operational support

Requirements:

• Bachelor’s degree in a related technical discipline
• 5+ years of enterprise-scale cloud data engineering experience
• 2+ years building production pipelines within Azure Databricks
• Highly proficient with Python, PySpark, and SQL
• Experience with Spark optimization, Azure Data Factory, and Git

Apply Azure Databricks, Python, and SQL expertise to build reliable enterprise data solutions for ATCO.