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warehousing, ETL/ELT, and SQL performance optimization.\nKey Responsibilities\nDesign, develop, and optimize solutions using Azure Synapse Analytics.\nBuild and maintain data integration pipelines using Azure Data Factory (ADF) and Synapse Pipelines.\nDesign and implement scalable Azure Data Lake Storage Gen2 (ADLS Gen2) architectures.\nDevelop robust and high-performance ETL/ELT frameworks for enterprise data platforms.\nMonitor and troubleshoot large-scale data ingestion, transformation, and processing workloads.\nIdentify and resolve performance bottlenecks across data movement and transformation processes.\nEnsure data quality, availability, reliability, and consistency across analytics platforms.\nPerform advanced SQL query analysis and optimization.\nAnalyze execution plans and optimize complex analytical workloads.\nConfigure and tune Synapse Dedicated SQL Pools.\nDesign efficient partitioning strategies for large datasets.\nOptimize indexing, statistics, and workload distribution to improve query performance.\nMandatory Skills\nAzure Synapse Analytics\nAzure Data Factory (ADF)\nSynapse Pipelines\nADLS Gen2\nETL/ELT\nStrong SQL\nSynapse Dedicated SQL Pool\nSQL query/execution plan optimization\nPartitioning, indexing, and statistics\nAzure data warehouse / data lake architecture\nPerformance tuning and troubleshooting\nIdeal Candidate\nA strong Azure Data Engineer with hands-on experience in Synapse + ADF + ADLS Gen2 + Advanced SQL + Dedicated SQL Pool performance tuning.\n\nSkills\nMicrosoft Windows Azure, Apache Synapse, synapse, SQL Azure, PL/SQL, Microsoft SQL Server","description_format":"text","description_chars":1715,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["AI Consulting & 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