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Data Engineer - Fabric
Skills
Computer ScienceWarehouse OperationsApache SparkCapacity UtilizationConsumer TextilesContinuous IntegrationData Analytics
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Bachelor's degree in computer science information technology or related field or equivalent experience
- Minimum of three years of experience in data engineering ETL development and data warehousing
- Highly experienced with Microsoft Fabric including OneLake Lakehouses Data Pipelines Dataflows Gen2 and/or Notebooks
- Solid understanding of Medallion Architecture Delta Lake concepts data modeling and modern analytics patterns
- Experience with data governance data quality and data security frameworks and standards
- Experience monitoring and optimizing Microsoft Fabric capacity utilization workload performance and resource consumption is preferred
- Solid grasp of CI/CD including source control deployment pipelines and release management practices
- Experience with Git-based source control and collaborative development workflows
- Expertise in integrating Fabric solutions with Power BI Azure services and external data sources
- Experience with Apache Spark and PySpark within Microsoft Fabric
- Excellent verbal and written communication skills presentation problem-solving skills and attention to detail
- Self-starter with strong organizational and time management skills
- Ability to guide and support others through collaboration
- Demonstrated ability to use discretion make sound decisions and maintain confidentiality
- Willingness and ability to work flexible hours
- Proficiency in MS Office and modern communication tools for virtual teams
Nice to have
- Versatile
- Fast-paced
- Problem solver
- Innovative
- Growth mindset
- Collaborative
Day to day
- Collaborates with cross-functional teams to gather analytical requirements and translate them into effective Microsoft Fabric data solutions.
- Designs builds and maintains end-to-end data ingestion and transformation workflows using OneLake Lakehouses Data Pipelines Dataflows Gen2 and Notebooks.
- Optimizes data quality governance monitoring and support to ensure reliable scalable and actionable reporting datasets.
Hiring process
- Submit application on careers page
- Talent acquisition team reviews application
- If shortlisted, candidate is contacted for next steps
