{"id":1621205,"url":"https://alion.io/job/exl-azure-lead-data-engineer","title":"Azure Lead Data Engineer","company":{"id":38016,"name":"EXL","domain":"exlservice.com","url":"https://alion.io/company/exl","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"B","score":80,"open_postings":54,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":9,"computed_at":"2026-10-05T05:45:15Z"}},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Gurgaon, 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Responsibilities:\nDesign and develop ETL/ELT pipelines using Azure Data Factory, Snowflake, and DBT.\nBuild and maintain data integration workflows from various data sources to Snowflake.\nWrite efficient and optimized SQL queries for data extraction and transformation.\nWork with stakeholders to understand business requirements and translate them into technical solutions.\nMonitor, troubleshoot, and optimize data pipelines for performance and reliability.\nMaintain and enforce data quality, governance, and documentation standards.\nCollaborate with data analysts, architects, and DevOps teams in a cloud-native environment.\nMust-Have Skills:\nStrong experience with Azure Cloud Platform services.\nProven expertise in Azure Data Factory (ADF) for orchestrating and automating data pipelines.\nProficiency in SQL for data analysis and transformation.\nHands-on experience with Snowflake and SnowSQL for data warehousing.\nPractical knowledge of DBT (Data Build Tool) for transforming data in the warehouse.\nExperience working in cloud-based data environments with large-scale datasets.\nGood-to-Have Skills:\nExperience with DataStage, Netezza, Azure Data Lake, Azure Synapse, or Azure Functions.\nFamiliarity with Python or PySpark for custom data transformations.\nUnderstanding of CI/CD pipelines and DevOps for data workflows.\nExposure to data governance, metadata management, or data catalog tools.\nKnowledge of business intelligence tools (e.g., Power BI, Tableau) is a plus.\nQualifications:\nBachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related field.\n8+ years of experience in data engineering roles using Azure and Snowflake.\nStrong problem-solving, communication, and collaboration skills.\n Key Responsibilities:\nDesign and develop ETL/ELT pipelines using Azure Data Factory, Snowflake, and DBT.\nBuild and maintain data integration workflows from various data sources to Snowflake.\nWrite efficient and optimized SQL queries for data extraction and transformation.\nWork with stakeholders to understand business requirements and translate them into technical solutions.\nMonitor, troubleshoot, and optimize data pipelines for performance and reliability.\nMaintain and enforce data quality, governance, and documentation standards.\nCollaborate with data analysts, architects, and DevOps teams in a cloud-native environment.\n Qualifications:\nBachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related field.\n8+ years of experience in data engineering roles using Azure and Snowflake.\nStrong problem-solving, communication, and collaboration 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