EXL - Lead Synapse Azure Data Engineer in Delhi, भारत

Job Summary : The Lead Synapse Data Engineer is responsible for leading the design, development, deployment, and support of enterprise-scale data platforms and analytics solutions using Azure Synapse Analytics, Azure Data Factory, Azure Data Lake Storage, SQL Server, and related Azure https://jobeax.com/link/v8qrFLRTZgSSorDg Responsibilities : - Lead the design, development, and implementation of enterprise-scale data solutions using Azure Synapse Analytics, Azure Data Factory, Azure Data Lake Storage (ADLS Gen2), and Azure SQL technologies.- Design and develop scalable batch, micro-batch, and near real-time data ingestion and processing pipelines.- Build and optimize ELT/ETL frameworks leveraging Synapse Pipelines, Dedicated SQL Pools, Serverless SQL Pools, Spark Pools, PySpark, and SQL-based transformations.- Drive the implementation of modern data platform architectures, including Data Lakehouse, Medallion Architecture, and enterprise data warehouse solutions.- Implement data quality frameworks, validation rules, reconciliation checks, and monitoring controls.- Lead and mentor teams of Data Engineers, promoting engineering excellence and best practices.- Implement CI/CD pipelines using Azure DevOps, GitHub, and infrastructure automation https://jobeax.com/link/RZ7Sbpw3fJI34ayo Stack : Azure Synapse Analytics, Azure Data Factory (ADF), Azure Data Lake Storage (ADLS Gen2), SQL Server, Azure SQL Database, PySpark, Spark SQL, Python, T-SQL, Azure DevOps, GitHub, https://jobeax.com/link/KywnmSLwsH1BL00y Qualifications : - Bachelor's Degree in Computer Science, Engineering, Information Systems, or related discipline.- 10+ years of experience in Data Engineering, Data Integration, Data Warehousing, and Cloud Data Platforms.- 5+ years of hands-on experience with Azure Synapse Analytics.- Strong hands-on expertise with PySpark, Spark SQL, Python, and T-SQL.- Experience implementing Data Vault, Dimensional Modeling, ODS, and Data Warehouse architectures.- Strong background in Agile delivery methodologies and Azure DevOps. (ref:hirist.tech)