Senior Data Engineer

• Design, develop, and optimize data pipelines and ETL/ELT workflows using Microsoft Fabric, Azure Data Factory, and Azure Synapse Analytics.
• Implement Lakehouse and Warehouse architectures within Microsoft Fabric, supporting medallion (bronze-silver-gold) data layers.
• Collaborate with business and analytics teams to build scalable and reliable data models (star/snowflake) using Azure SQL, Power BI, and DAX.
• Utilize Azure Analysis Services, Power BI Semantic Models, and Microsoft Fabric Dataflows for analytics delivery.
• Very good hands-on experience with Python for data transformation and processing.
• Apply CI/CD best practices and manage code through Git version control.
• Ensure data security, lineage, and quality using data governance best practices and Microsoft Purview (if applicable).
• Troubleshoot and improve performance of existing data pipelines and models.
• Participate in code reviews, testing, and deployment activities.
• Communicate effectively with stakeholders across geographies and time zones.

Required Skills:

• Strong knowledge of Azure Synapse Analytics, Azure Data Factory, Azure SQL, and Azure Analysis Services.
• Proficiency in Power BI and DAX for data visualization and analytics modeling.
• Strong Python skills for scripting and data manipulation.
• Experience in dimensional modeling, star/snowflake schemas, and Kimball methodologies.
• Familiarity with CI/CD pipelines, DevOps, and Git-based versioning.
• Understanding of data governance, data cataloging, and quality management practices.
• Excellent verbal and written communication skills.