Data Quality Engineer (MRF00616)

Hunter's Hub Inc.; Taguig; On-site; PHP 446,400 - 669,600; Full time

Job summary

A leading data management company in Taguig is seeking an experienced data quality analyst. The role involves developing automated tests, analyzing data quality, and collaborating with various teams to ensure data integrity. The ideal candidate has at least 3 years of experience, a Bachelor's degree in Computer Science or Information Systems, and hands-on experience with SQL and Python. Attention to detail and strong interpersonal skills are essential.

Qualifications

• Minimum overall experience is 3 years.
• Experience with corporate data management systems in high-compliance contexts.
• Ability to read/write SQL queries.

Responsibilities

• Develop automated tests for data assets.
• Design and maintain data quality reports and trends.
• Analyze large and complex data for quality issues.
• Collaborate with data engineers and teams.

Skills

Interpersonal communication

Data governance frameworks

Internal auditing methodologies

Problem-solving

Negotiation

Attention to detail

Analytical ability

Education

Bachelor's in Computer Science or Information Systems

Data management certifications (e.g., CDMP)

Tools

SQL

Python

Job description

Responsibilities

• 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

Qualifications

• 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.