• Design, develop, and optimize SQL queries, procedures, and data models.
• Develop and maintain Hadoop-based data pipelines and workflows (Hive, Pig, Spark, HDFS).
• Perform ETL processes to ingest and transform large data sets from multiple sources.
• Ensure data quality, performance tuning, and scalability of data processes.
• Collaborate with data analysts, data scientists, and business stakeholders to deliver data solutions.
• Monitor and troubleshoot performance issues within SQL and Hadoop environments.

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