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
● Familiarity with Python is a plus
● 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