
Chief Data Pipeline Architect
1 day ago
We're seeking an experienced and passionate Senior Data Engineer to join our growing data & AI team. The ideal candidate will be responsible for designing, developing, and maintaining scalable data solutions using Microsoft Fabric.
Key Responsibilities:- Design and implement end-to-end data pipelines using Microsoft Fabric.
- Work with Lakehouses, Dataflows, Data Warehouses, and Notebooks within Fabric.
- Develop scalable ETL/ELT processes leveraging OneLake, Delta tables, and Spark engines.
- Collaborate with stakeholders to gather business requirements and translate them into technical solutions.
- Integrate various data sources (structured and unstructured) and ensure data quality, governance, and security.
- Optimize performance and cost-efficiency of data solutions within Fabric and Azure.
- Work closely with Power BI teams for semantic modeling and real-time dashboards.
- Stay updated with the latest features in Microsoft Fabric and adopt best practices.
- 6+ years of experience in data engineering.
- Hands-on experience with Microsoft Fabric (Lakehouse, Warehouse, OneLake, Pipelines).
- Proficiency in SQL, Python, and Spark.
- Strong understanding of Azure Data Services: Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Gen2.
- Experience with Power BI, especially in integrating Fabric datasets.
- Knowledge of data modeling, data warehousing, and data governance.
- Familiarity with CI/CD practices and DevOps for data solutions.
- Microsoft Certified: Azure Data Engineer or Fabric-specific certifications.
- Experience working in agile delivery models and cross-functional teams.
- Familiarity with Databricks, Delta Lake, or other cloud-native analytics platforms is a plus.
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