Senior Data Engineer improving General Motors vehicle data pipelines, monitoring, and observability. Supporting reliable fleet software operations across Oshawa and Markham hybrid offices.
About the role
- Databricks Data Engineer modernizing a Canadian enterprise data platform. Building ETL/ELT pipelines and lakehouse solutions supporting reporting, analytics, and AI initiatives.
Responsibilities
- Design, develop, and maintain data pipelines within the Enterprise Data Platform (EDP)
- Build and optimize ETL/ELT processes for data ingestion, transformation, and integration
- Use an Agentic approach to development and ensure outputs meet development standards
- Develop scalable and reusable data solutions with Databricks and cloud-based data technologies
- Support migration and modernization from HANA environments to a modern data platform
- Collaborate with Data Architects on scalable data models and platform solutions
- Develop transformation logic and workflows for business and analytics requirements
- Ensure data quality, integrity, consistency, and performance
- Troubleshoot data issues, bottlenecks, and performance concerns
- Participate in code reviews, testing, deployment, and release activities
- Work with business and analytics teams to understand requirements and deliver fit-for-purpose solutions
- Contribute to platform best practices, documentation, and continuous improvement
Requirements
- At least 3 years of hands-on Databricks development experience
- 4+ years of overall Data Engineering, ETL, or Data Integration experience
- Strong experience building ETL/ELT data pipelines and transformation processes
- Proven experience working with large and complex datasets
- Experience developing data solutions within cloud-based platforms
- Solid understanding of data warehousing, data lake, and lakehouse concepts
- Experience working in Agile delivery environments
- Strong problem-solving and analytical skills
- Excellent communication and collaboration abilities
- Experience with Agentic frameworks and AI-assisted coding is a value add
- Preferred: experience supporting large data platform initiatives
- Preferred: experience in significant data migration efforts
- Preferred: Azure Data Services and Databricks Lakehouse architecture experience
- Preferred: modern data engineering frameworks and best practices
- Preferred: exposure to AI, GenAI, Machine Learning, or advanced analytics initiatives
- Preferred: large enterprise or consulting environment experience
- Preferred: knowledge of data governance, metadata management, and data quality frameworks
- Must be authorized to work in Canada
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