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Job Description

  •  Main responsiblility will be support severity 1-3 issues that require adhoc data extraction; reconcile and investigate data gaps; evaluate data flows; test data analytics intiatives and data flow pipelines; and monitor and execute job schedules/runs
  • Supports QA in conducting UAT tests and impact assessment for data at the back-end whenever a new technology or release is made by IT Service Delivery
  • Perform data investigation and reconciliation across different systems, platforms, and databases 
  • Apply performance tuning and script optimization to reduce computational load and improve run time
  • Collaborates with data engineers, data scientists, and data analysts in mapping out dependencies and dataflows
  • Perform data investigation and reconciliation across different systems, platforms, and databases
  • Document and update data dictionary, ER diagrams, and database management tools as needed
  • Notifies stakeholders in case there are issues encountered for data anlaytics solutions already in production
  • ·nvestigates the rootcause of data operation issues and provide recommendations on how to resolve and mitigate
  • Supports data quality clean-up activities and provide reports to improve the DQI index across different data domains

Qualification

  •  More than 3 years experience in data operations, database management, testing, quality and/or data governance 
  • Expertise in Database Management (SQL, Hadoop, Hive)
  • Experienced in documentation and data quality tools
  • Preferred languages: SQL(Must), Python, R, Bash/Shell scripting, 

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