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Job description

Role & responsibilities • Provide L2/L3 production support for data engineering platforms and pipelines. • Monitor, troubleshoot, and resolve issues in AWS, Databricks, and SQL-based workflows. • Manage data migration, ingestion, and transformation processes across multiple environments. • Collaborate with data engineers, analysts, and business stakeholders to ensure smooth delivery of data solutions. • Implement incident management, root cause analysis, and preventive measures to minimize downtime. • Optimize performance of ETL/ELT pipelines and ensure adherence to SLAs. • Automate monitoring and alerting processes using scripting (Python/PowerShell). • Maintain documentation for production support processes, runbooks, and knowledge base. • Participate in on-call rotations and provide timely support for critical issues. • Ensure compliance with data governance, security, and quality standards. Preferred candidate profile • Experience: 2+ years in handling production support. • Education: A Bachelor's degree in Computer Science, Information Technology, or a related field is required. • Good Experience in Python and Pyspark • Strong experience in writing complex SQL Queries • Hands-on experience in AWS and Databricks

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