Data Quality Engineer (MRF00616)

Perform tasks / responsibilities 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
Required Skills and Educational Experience

Minimum overall experience is 3 years
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.

See also