Data Engineer

About the job

Data Engineering & Architecture Design and implement data solutions using ADF, Microsoft Fabric, Synapse, Databricks. Build data models for scalable data processing, endpoint processing, and integration. Develop and optimize data pipelines (real-time, batch, and BYOD). Data Modeling & Analytics Create semantic models and dimensional models in Power BI. Platform Operations & Governance Apply DataOps practices, monitoring, and performance tuning. Ensure data security, quality, and governance. Integrate predictive analytics with Azure ML where required. Required Skills & Experience: • 5–7 years of data engineering experience (minimum 3 years in Microsoft technologies). • Strong expertise in Microsoft Fabric, Azure Synapse Analytics, Databricks, Power BI. • Proficiency in SQL, T-SQL, Spark SQL, Python/Scala, DAX, Power Query (M). • Experience with real-time streaming (Event Hubs/Kafka) and batch processing. • Microsoft Certified: Azure Data Engineer Associate / Fabric Analytics Engineer Associate / Power BI Data Analyst Associate • Databricks Certified Data Engineer Associate • Bachelor’s degree in computer science, Data Science, Engineering or related field (master’s preferred).