Data Quality Engineer

Responsibilities :

• Assist and coordinate for data operations with data lake teams on creating, automating, and monitoring the data quality processes, ensuring continuous improvement.
• Assist in enforcing data governance and information management policies, SOPs, and standards to manage clinical and product data in a secure and compliant manner.
• Improving the delivery of complex DQ projects by implementing standard processes, tools, and templates that will be used consistently across the Division.
• Participate in process improvements initiatives involving business areas.
• Identify areas for improvement with current DQ tool sets and propose future state to support DigitalX use cases, analytics best practices, and regulations.
• Provide short range, tactical planning and execution of actions required to deliver DQ strategies and objectives.
• Implement as needed metadata standards, data quality and testing procedures for the data lake / warehouse consistent with Astellas SLC standards for GxP / non-GxP sources.
• Work closely with Business Users and Pod / Value Team leads in developing data health insights on Tableau, Qlik or equivalent dashboards.
• Monitoring the integration of data sources, such as clinical trials data, operational data, portfolio management data, and product submission data into the centralized data Lakehouse.
• Mentors analysts to perform a variety of ad-hoc analysis and reports as requested around data quality and integrity.

Requirements

Qualifications : Required

Preferred Qualifications :