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Description: Area(s) of responsibility Key Responsibilities Azure Synapse & Data Engineering - Design, develop, and optimize solutions using Azure Synapse Analytics. - Build and maintain data integration solutions using Azure Data Factory (ADF) and Synapse Pipelines. - Design and implement scalable Data Lake architectures (ADLS Gen2). - Develop high-performance ETL/ELT frameworks for enterprise data platforms. - Monitor and troubleshoot large-scale data ingestion, transformation, and processing workloads. - Identify performance bottlenecks and implement optimization strategies across data movement and transformation processes. - Ensure data quality, availability, and reliability across analytics ecosystems. These responsibilities align with internally referenced practices around data warehousing, ETL optimization, data lakes, and Synapse performance tuning. [25543668-c...3291332387 | Word] SQL & Data Warehouse Performance - Perform advanced SQL query analysis and optimization. - Analyze and optimize execution plans for complex analytical workloads. - Configure and tune Synapse Dedicated SQL Pools. - Design and implement efficient partitioning strategies for large datasets. - Optimize indexing, statistics, and workload distribution.