Key Responsibilities:

Collaborate with cross-functional teams to understand data requirements and identify areas of data quality improvement
Develop and maintain data quality standards, policies, and procedures
Design and execute data quality checks and audits to identify data discrepancies and anomalies
Investigate and troubleshoot data issues, working with relevant teams to resolve them in a timely manner
Monitor data quality metrics and provide regular reports to stakeholders
Implement automated data quality tests and continuously improve upon them
Identify and implement data cleansing and data enrichment techniques to improve data accuracy and completeness
Develop and maintain documentation related to data quality processes and procedures
Stay updated with industry best practices and advancements in data quality management and incorporate them into our existing processes

Qualifications:

Bachelor's degree in Computer Science, Information Systems, or a related field
Minimum of 3 years of experience in data quality management or a similar role
Strong proficiency in SQL and experience working with relational databases
Familiarity with data quality tools such as Informatica, Talend, or IBM QualityStage
Experience with data visualization tools such as Tableau or Power BI
Knowledge of data governance principles and practices
Excellent problem-solving and analytical skills
Strong attention to detail and ability to work with large datasets
Excellent communication and collaboration skills
Ability to work independently and manage multiple tasks simultaneously
Experience in the healthcare industry is a plus

Join our team as a Data Quality Engineer and be a part of a dynamic and innovative organization that values data-driven decision-making and continuous improvement. We offer a competitive salary, comprehensive benefits package, and opportunities for professional growth and development.

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