Senior Data Engineer

We are seeking an experienced Data Fabric and Microsoft Data Stack Engineer responsible for designing implementing and maintaining unified data architectures that integrate diverse data sources ensure high data quality and support enterprise wide analytics The role requires deep expertise in the Microsoft Fabric ecosystem Azure Data Services and Power BI with a strong focus on building scalable high performance data solutions.

Years of experience needed 9+ years.

• Design and implement data solutions using Microsoft Fabric including One Lake Lakehouse, Notebooks Synapse Data Warehouse and Real Time Analytics.
• Build optimize and monitor data pipelines using Data Factory Fabric Spark notebooks PySpark and T SQL and Delta processing.
• Ensure data integrity reliability and optimal system performance across all pipelines and data assets.
• Develop datasets and models that support advanced analytics ML and BI workloads SQL Python Fabric Data Factory, Dataflows Gen2 Synapse Data Warehouse SQL Analytics Endpoints Power BI models and DAX PySpark or T SQL notebooks.

Strong programming proficiency in SQL and Python. Hands on experience with Microsoft Fabric Data Factory, Dataflows Gen2, Synapse Data Warehouse or SQL Analytics Endpoints, Power BI data models, DAX, PySpark or T SQL notebooks. Solid understanding of modern data architectures including Lakehouse Delta real time data patterns.

• Experience with enterprise scale data platforms or cloud transformations.
• Knowledge of data governance quality frameworks and metadata management.
• Familiarity with Microsoft Azure data services such as Azure Data Lake Azure SQL Synapse Analytics.

• Experience with enterprise scale data platforms or cloud transformations.
• Knowledge of data governance quality frameworks and metadata management.
• Familiarity with Microsoft Azure data services such as Azure Data Lake Azure SQL Synapse Analytics.

Not specified.

We are committed to diversity and inclusivity.