Data Quality Engineer

"QUALIFICATIONS
(Minimum requirements in terms of experience and background, skills and competencies for sourcing purposes)
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."

Job Description
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

B. Displays (The Knowledge, Skills, and Behaviors indicating how tasks / responsibilities will be performed)

● 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 C. Delivers (The specific outputs / tangible results produced by the role; resources responsible for)

● 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 KPIs

● Data quality metrics

● Data quality ticket closure rate

● Data quality enablement and empowerment