Data Analytics Engineer SQL

As an experienced Data Engineer at Sikich India, your role will involve designing, building, and optimizing end-to-end data solutions using Microsoft's data platforms such as Microsoft Fabric, Azure Synapse Analytics, Databricks, and Power BI. You will be responsible for implementing contemporary data architecture patterns, creating robust data pipelines, and delivering insight-driven analytics to assist clients in making informed decisions. Key Responsibilities: - Designing and implementing data solutions using ADF, Microsoft Fabric, Synapse, and Databricks. - Building data models for scalable data processing, endpoint processing, and integration. - Developing and optimizing data pipelines for real-time, batch, and BYOD scenarios. - Creating semantic models and dimensional models in Power BI. - Applying DataOps practices, monitoring, and performance tuning. - Ensuring data security, quality, and governance. - Integrating predictive analytics with Azure ML when required. Qualifications Required: - 5-7 years of data engineering experience with a minimum of 3 years in Microsoft technologies. - Strong expertise in Microsoft Fabric, Azure Synapse Analytics, Databricks, and Power BI. - Proficiency in SQL, T-SQL, Spark SQL, Python/Scala, DAX, and 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. - Bachelors degree in computer science, Data Science, Engineering, or related field (masters preferred). At Sikich, you will have the opportunity to work on cutting-edge Microsoft data projects, collaborate with global teams, and contribute to solutions that shape the future of data-driven business decisions. As an experienced Data Engineer at Sikich India, your role will involve designing, building, and optimizing end-to-end data solutions using Microsoft's data platforms such as Microsoft Fabric, Azure Synapse Analytics, Databricks, and Power BI. You will be responsible for implementing contemporary data architecture patterns, creating robust data pipelines, and delivering insight-driven analytics to assist clients in making informed decisions. Key Responsibilities: - Designing and implementing data solutions using ADF, Microsoft Fabric, Synapse, and Databricks. - Building data models for scalable data processing, endpoint processing, and integration. - Developing and optimizing data pipelines for real-time, batch, and BYOD scenarios. - Creating semantic models and dimensional models in Power BI. - Applying DataOps practices, monitoring, and performance tuning. - Ensuring data security, quality, and governance. - Integrating predictive analytics with Azure ML when required. Qualifications Required: - 5-7 years of data engineering experience with a minimum of 3 years in Microsoft technologies. - Strong expertise in Microsoft Fabric, Azure Synapse Analytics, Databricks, and Power BI. - Proficiency in SQL, T-SQL, Spark SQL, Python/Scala, DAX, and 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. - Bachelors degree in computer science, Data Science, Engineering, or related field (masters preferred). At Sikich, you will have the opportunity to work on cutting-edge Microsoft data projects, collaborate with global teams, and contribute to solutions that shape the future of data-driven business decisions.