Data Quality Engineer

"A. Does (The tasks / responsibilities that the role performs to address requirements in Key Result Areas)

• Work with business subject matter experts and data developers to create data testing strategies
• Develop automated tests for data assets
• Design, monitor and maintain data quality reports, KPIs & trends for the internal data systems
• Create data quality test plans and test cases
• Execute and automate data quality test cases, and perform bug tracking
• Help create and implement data quality processes and requirements
• Analyze large and complex data for quality issues relating to uniqueness, completeness, validity, consistency, timeliness, integrity, and accuracy
• Collaborate with data engineers, application developers, business owners, business subject matter experts, and data operations team to ensure the accuracy of production data pipielne designs and implementations
• Support the development and implementation of data quality management policies and best practices for improving the overall health of enterprise data
• Share Data Quality knowledge and best practices with team members and others throughout the organization
• Maintain and apply a working knowledge of industry best practices, testing tools, and techniques

• Outstanding interpersonal and communication skills; ability to communicate effectively with technical and non-technical audiences
• Strong knowledge of data governance frameworks and principles
• Strong knowledge of internal auditing methodologies
• Result oriented, willing to commit to a direction and drive operations to completion
• Able to manage adversity and challenging situations
• Able to develop cooperative and constructive working relationships
• Able to handle complaints, settle disputes and resolve conflicts and negotiate with others
• Highly developed skills in priority setting and alignment of project priorities with strategy
• Able to breakdown complex problems and projects into manageable goals
• Able to get the root cause of complex issues and develop sound and timely resolutions
• Ability to retain strategic direction in a rapidly evolving company culture
• Attention to detail

• Write data quality test plans and routines
• Develop and maintain data quality reports, KPIs, and trends
• Raises data quality issues ticket to the data operations team and clears open data quality issues once remediation is applied

• Data quality metrics
• Data quality ticket closure rate
• Data quality enablement and empowerment"

Required Skills and Educational Experience:

• Bachelors in Computer Science or Information Systems or 2+ years’ experience with corporate data management systems in high-compliance contexts
• Data management related certifications (e.g., CDMP certification) is a plus
• Ability to read/write SQL queries
• Experience working in a Big Data environment, dealing with large diverse data sets
• Hands-on experience in Python
• Demonstrates knowledge of structured testing methodology, with a proven ability to break down business requirements/functional/non-functional requirements into high and detailed test cases and test scenarios.
• Strong communication / organizational skills, analytical ability, and attention to detail."