Data Quality Engineer

Functions:

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

Qualifications:

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.