Sr Data Engineer (Microsoft Fabric, Power BI, and Purview)

QUALIFICATIONS • 5+ years of experience in data engineering, analytics engineering, data platform development, or related technical roles. • Strong SQL and Python skills, with experience building analytical data models, transformation logic, and ETL/ELT pipelines for enterprise analytics and reporting use cases. • Experience working with cloud data platforms, preferably Microsoft Azure and Microsoft Fabric. • Working knowledge of dimensional modeling, lakehouse patterns, and semantic modeling concepts. • Ability to work independently while collaborating effectively with distributed teams, with strong written and verbal communication skills. • Advanced English proficiency, written and spoken, required for daily collaboration with U.S.-based teams and client-facing engagements. • Valid passport and up-to-date travel documentation for the United States, as occasional international travel may be required depending on client and project needs.

KEY RESPONSIBILITIES • Design, develop, and maintain Microsoft Fabric Lakehouses, Warehouses, Data Pipelines, Dataflows Gen2, Notebooks, and OneLake-based data assets. • Build scalable ingestion, transformation, cleansing, and validation pipelines for structured, semi-structured, and cloud-based data sources. • Implement medallion architecture patterns across Bronze, Silver, and Gold layers to support trusted enterprise analytics. • Develop Power BI-ready datasets and semantic models that support executive dashboards, operational reporting, and self-service analytics. • Partner with BI developers to optimize Direct Lake, Import, and composite model approaches based on usage, scale, performance, and governance needs. • Apply Microsoft Purview and Fabric governance practices, including metadata, lineage, and data quality controls, to improve data discoverability and compliance. • Optimize data workloads for performance, reliability, scalability, and cost-effective capacity utilization. • Support CI/CD, deployment pipelines, version control, documentation, monitoring, and production support for data solutions. • Translate technical data engineering concepts into clear explanations for business users and client stakeholders. • Collaborate with architects, analysts, data scientists, and business teams to deliver end-to-end data and analytics solutions.

PREFERRED SKILLS • Experience supporting Power BI datasets, semantic models, and reporting environments, with strong understanding of analytics solution design. • Strong understanding of data governance, data quality, privacy, access control, and metadata management concepts at an enterprise scale. • Hands-on experience with Microsoft Fabric Lakehouse, Warehouse, Data Factory, Dataflows Gen2, Notebooks, OneLake, and Direct Lake. • Experience with Microsoft Purview data catalog, lineage, classification, glossary, or governance workflows. • Experience with Power BI performance tuning, DAX, deployment pipelines, and workspace governance. • Experience with Azure Data Factory, Azure Data Lake, Azure SQL, Synapse, Databricks, or Delta Lake. • Experience implementing CI/CD, Git integration, automated testing, and deployment standards for data solutions. • Microsoft Fabric, Power BI, Azure, or Databricks certifications are a plus