Job
Description
Role Overview: As a Data Quality (DQ) Engineer at Astellas Pharma Inc., you will play a crucial role in ensuring the accuracy, completeness, consistency, and reliability of data within key systems. Your responsibilities will include implementing data quality business rules, analysis, remediation activities, and collaborating with various teams to maintain data integrity and regulatory compliance. Your expertise in data quality, governance, and managing governance processes will be essential for driving data-driven decision-making processes and supporting regulatory compliance efforts. Key Responsibilities: - Implement business data quality checks on the SaaS platform, working with business and data lake teams. - Perform validation and testing to ensure data accuracy, integrity, and consistency across systems and applications. - Collaborate with external vendors and partners to optimize data quality services. - Identify, document, and track data quality violations and defects, and work towards resolution. - Monitor and report on data quality metrics. - Assist in enforcing data governance and information management policies. - Participate in process improvement initiatives and propose future state to support DigitalX use cases, analytics best practices, and regulations. - Mentor analysts and provide insights on data quality and integrity. Qualifications: Required: - Bachelor of Science degree in Computer Science, Mathematics, Information Systems, Data Science, Business, Finance, or a related field. - 5+ years of relevant experience in data quality management within the healthcare industry. - Strong problem-solving skills with attention to detail. - Experience with cloud-based platforms such as AWS, Azure, and Google Cloud Platform. - Excellent written and verbal communication skills. - Strong understanding of ETL/ELT processes and data quality principles. - Certification in Adobe Experience Manager is a plus. - Life Sciences/Pharma industry experience. Preferred: - Master's degree in Finance, Business, or Information Management. - At least 3+ years of experience in the Life Sciences industry. - Proficiency in SQL and data quality tools like Talend, Databricks, and Informatica Data Quality. - Expertise in data analysis, data modeling, and data integration techniques. - Knowledge of integration solutions platforms such as Talend and Databricks. - Proficiency in Tableau or Qlik dashboards. - In-depth understanding of life sciences business processes. - Relevant certifications in cloud computing and data engineering tools/platforms are advantageous. Additional Details: Astellas is committed to equality of opportunity in all aspects of employment, including Disability/Protected Veterans.,
