
Senior Microsoft Fabric Data Engineer
2 days ago
- Help design, build and continuously improve the clients online platform.
- Research, suggest and implement new technology solutions following best practices/standards.
- Take responsibility for the resiliency and availability of different products.
- Be a productive member of the team.
Requirements
- 6 years in data engineering, with expertise in Azure and Microsoft Fabric.
- Design and implement end-to-end data solutions using Microsoft Fabric, covering ingestion, storage, transformation, and serving.
- Build scalable ETL pipelines with Fabric Data Factory to integrate data from various sources into OneLake.
- Perform data cleansing and transformation using Fabric Data Engineering (Spark).
- Design and optimize Lakehouses and Data Warehouses.
- Ensure data quality through validation checks and performance tuning.
- Integrate Fabric with Azure services and on-prem systems.
- Collaborate with stakeholders to gather requirements and deliver solutions.
- Document processes, maintain best practices, and mentor junior engineers.
- Strong hands-on experience with Azure Data Factory, Azure Synapse, Data Lake, and Fabric Spark.
- Proficient in SQL, KQL (Kusto Query Language), Python, and PySpark.
- Solid understanding of data modeling (Kimball/Inmon), integration, and pipeline optimization.
- Strong communication, problem-solving, and documentation skills.
- Master's degree or Microsoft Certified: Azure Data Engineer Associate.
- Experience with real-time data processing (e.g., Kafka), DevOps, and data governance.
- Exposure to data platform migrations from legacy systems.
Benefits
- A challenging, innovating environment.
- Opportunities for learning where needed.
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