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- Employment type
- Full-time
- Experience level
- Mid-level · 4+ years
- Minimum education
- Bachelor’s degree
- Posting language
- French
- Working hours
- 35 hours per week
Job summary
The data engineer will design, build, and maintain data warehouses and lakes within Microsoft Fabric while developing robust ETL pipelines. They will also ensure data integrity, contribute to governance initiatives, and optimize system performance through monitoring and reporting.
Job details
The data engineer will design, build, and maintain data warehouses and lakes within Microsoft Fabric while developing robust ETL pipelines. They will also ensure data integrity, contribute to governance initiatives, and optimize system performance through monitoring and reporting. Candidates must hold a bachelor's degree in a quantitative field and possess at least 4 years of experience in data engineering. Proficiency in SQL, Python, and Microsoft Azure data platforms is required, along with strong analytical and communication skills.
What you’ll do
The data engineer will design, build, and maintain data warehouses and lakes within Microsoft Fabric while developing robust ETL pipelines. They will also ensure data integrity, contribute to governance initiatives, and optimize system performance through monitoring and reporting.
Requirements
Candidates must hold a bachelor's degree in a quantitative field and possess at least 4 years of experience in data engineering. Proficiency in SQL, Python, and Microsoft Azure data platforms is required, along with strong analytical and communication skills.
Listed skills
- Microsoft Azure · Preferred
- Power BI · Preferred
- SQL · Preferred
- GitHub · Preferred
- Python · Preferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Data Engineering
- Microsoft Fabric
- SQL
- Python
- Data Warehousing
- Data Lakes
- Power BI
- Data Governance
- ETL
- Data Pipelines
- Azure
- DevOps
- GitHub
- Semantic Modeling
- Data Integrity
Job areas
- Data & Analytics
- Technology
- Software
- Legal
- Engineering