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About the role
You are a Senior MS Fabric Leader responsible for leading complex data engineering initiatives, optimizing enterprise data solutions, and mentoring junior developers. Your role requires advanced technical expertise in Microsoft Fabric ecosystem and the ability to deliver scalable, high-performance data systems. Key Responsibilities: - Lead the design and development of enterprise-scale data pipelines and models using Microsoft Fabric / Synapse Analytics. - Optimize SQL queries, ETL/ELT processes, and data warehouse performance. - Collaborate with architects and business stakeholders to define technical solutions. - Implement data Integrations, data governance, lineage, and security frameworks. - Mentor junior developers and provide technical guidance. - Drive innovation by evaluating and adopting current tools and practices. Required Skills & Experience: - Deep expertise in Microsoft Fabric ecosystem (Lakehouse, Warehouse, Data Factory, Real-Time Analytics). - Basic & Advanced proficiency in SQL Server, query optimization, and performance tuning. - Strong experience in data engineering, big data frameworks, and distributed systems. - Knowledge of Azure Data Services (Synapse, Databricks, Purview). - Proven track record in delivering enterprise-grade data solutions. - Excellent leadership, communication, and problem-solving skills. - CICD Able to deploy the code using GitHub, Fabric Pipelines. Preferred Qualifications: - Bachelor's degree in Computer Science, Engineering, Data Science, or related field. - Value Added Certifications: Microsoft Certified: Azure Data Engineer Associate or Microsoft Fabric certifications. - Value Added Skills: Power BI, SSIS, SSRS. Technical Skills and Tools: - Core: Microsoft Fabric components (Data Engineering, Data Factory integration, Notebooks, OneLake); Spark (PySpark); SQL Server. - Orchestration and Scheduling: ADF pipelines, Fabric pipelines, event-driven triggers. - Value Added Skills and Tool: Databricks experience, Power BI experience, Synapse Analytics experience. The company values innovation, expertise, and collaboration in delivering high-quality data solutions. You are a Senior MS Fabric Leader responsible for leading complex data engineering initiatives, optimizing enterprise data solutions, and mentoring junior developers. Your role requires advanced technical expertise in Microsoft Fabric ecosystem and the ability to deliver scalable, high-performance data systems. Key Responsibilities: - Lead the design and development of enterprise-scale data pipelines and models using Microsoft Fabric / Synapse Analytics. - Optimize SQL queries, ETL/ELT processes, and data warehouse performance. - Collaborate with architects and business stakeholders to define technical solutions. - Implement data Integrations, data governance, lineage, and security frameworks. - Mentor junior developers and provide technical guidance. - Drive innovation by evaluating and adopting current tools and practices. Required Skills & Experience: - Deep expertise in Microsoft Fabric ecosystem (Lakehouse, Warehouse, Data Factory, Real-Time Analytics). - Basic & Advanced proficiency in SQL Server, query optimization, and performance tuning. - Strong experience in data engineering, big data frameworks, and distributed systems. - Knowledge of Azure Data Services (Synapse, Databricks, Purview). - Proven track record in delivering enterprise-grade data solutions. - Excellent leadership, communication, and problem-solving skills. - CICD Able to deploy the code using GitHub, Fabric Pipelines. Preferred Qualifications: - Bachelor's degree in Computer Science, Engineering, Data Science, or related field. - Value Added Certifications: Microsoft Certified: Azure Data Engineer Associate or Microsoft Fabric certifications. - Value Added Skills: Power BI, SSIS, SSRS. Technical Skills and Tools: - Core: Microsoft Fabric components (Data Engineering, Data Factory integration, Notebooks, OneLake); Spark (PySpark); SQL Server. - Orchestration and Scheduling: ADF pipelines, Fabric pipelines, event-driven triggers. - Value Added Skills and Tool: Databricks experience, Power BI experience, Synapse Analytics experience. The company values innovation, expertise, and collaboration in delivering high-quality data solutions.
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