Staff Data Engineer (Azure/Databricks)
Expected salary range
$98
Job status
Location
Workplace
Job Description
Join a Leading Canadian Energy Company 💡
Be part of a forward-thinking organization undergoing digital transformation and investing in clean energy technologies. As a Staff Data Engineer, you will architect scalable ELT/ETL pipelines, design business-centric data models, and collaborate with top teams to drive innovation using Azure and Databricks tools. Bring your expertise in data modeling, low-latency processing, and leadership to impact millions of customers and the future of energy.
Key Technologies: Azure Data Factory, Data Lake, SQL Databases, Synapse, Databricks, Purview, Power BI.
What You'll Do:
- Design modular data pipelines and solutions
- Optimize data models and query performance
- Guide and mentor engineering teams
- Work in agile SCRUM environments
Qualifications: Bachelor’s in CS or related field, 6-8 years in big data and cloud environments, strong problem-solving and communication skills.
Advance your career where collaboration meets innovation. Apply now and be a catalyst for clean energy!
Vaco by Highspring
🚀 Exciting opportunity for a Staff Data Engineer to lead data architecture at a major Canadian energy company! Work with Azure & Databricks, design scalable pipelines, and drive impactful clean energy solutions. Competitive pay, strong professional growth, and a chance to innovate in a collaborative environment. Apply if you have 6-8 years in big data and a passion for transformation! 🌱💼
Job offer are open to all, without discrimination and in gender equality.
Throughout the website, gender-specific terms may be used in order to ease the text flow.
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