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Senior Technical Lead

Senior Technical Lead

Infinite

8 - 13 years

20 - 25 Lacs

Hyderabad

Posted:2 days ago| Platform:

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Skills Required

Performance tuning metadata Version control Data modeling SCALA data governance Business intelligence microsoft Analytics Data architecture

Work Mode

Work from Office

Job Type

Full Time

Job Description

Primary Skills
Azure Synapse Pipelines, Azure Enterprise Data Warehouse (EDW), Microsoft Fabric, and Power BI
Good to have skills Experience with Azure DevOps, GitHub, or other CI/CD pipelines. Summary: We are seeking a highly skilled Data Engineering Lead to drive the design, development, and delivery of enterprise-grade data and analytics solutions using Azure Synapse Pipelines, Azure Enterprise Data Warehouse (EDW), Microsoft Fabric, and Power BI. This role involves leading a team of data engineers and analysts, working closely with stakeholders, and architecting scalable solutions across modern Azure data platforms. Key Responsibilities: Lead end-to-end data engineering efforts including design, development, deployment, and optimization of data pipelines and warehouse solutions on Azure. Architect and manage scalable Azure Synapse Pipelines (SQL and Apache Spark) for ingesting, transforming, and loading large volumes of structured and semi-structured data. Oversee Azure EDW (Dedicated SQL Pools) design, data modeling, and performance tuning. Implement and scale Microsoft Fabric workloads (Lakehouse, Warehouse, Dataflows Gen2, OneLake, Notebooks, Pipelines). Drive Power BI semantic model design, DAX development, and dashboard/reporting best practices across the organization. Collaborate with business and technical teams to understand data requirements and ensure solutions are aligned to enterprise goals. Manage data governance, metadata, quality, and security in compliance with organizational and regulatory standards. Provide technical mentorship and guidance to data engineers and BI developers. Establish DevOps/CI-CD practices for version control, deployment, and monitoring. Stay up to date with new Azure/Fabric features and recommend improvements. Required Skills & Experience: 8+ years of experience in data engineering and business intelligence. Strong hands-on expertise in: Azure Synapse Analytics (SQL Pools, Spark Pools, Pipelines) Azure Data Lake (Gen2) and Azure EDW Microsoft Fabric (OneLake, Lakehouse, Warehouse, Pipelines, Dataflows Gen2, Notebooks) Power BI (DAX, Power Query, Tabular Models, Gateways) Proficiency in SQL, T-SQL, and Apache Spark (PySpark or Scala). Deep understanding of data warehousing concepts, dimensional modeling, and data Lakehouse architectures. Strong experience with performance tuning and enterprise-scale data architecture. Preferred Skills: Experience with Azure DevOps, GitHub, or other CI/CD pipelines. Knowledge of data governance frameworks and tools like Microsoft Purview. Experience in Azure Monitor, Log Analytics, and other monitoring tools.

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Senior Technical Lead