Job Description

  • Main responsiblility will be support severity 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
  • Investigates 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,
  • Knowledgeable on Business Intelligence Tools (Qlik, PowerBI, Tableau)
  • Stakeholder and project management
  • Analytical, structure, organized, and proactive

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