Senior Data Quality & Validation Engineer

Boardroom Appointments; Randburg; On-site; ZAR 600,000 - 1,200,000; Full time

Job summary

Boardroom Appointments is seeking a Data Quality Engineer to analyze, design and implement data quality solutions within the Data Science team. The role focuses on identifying missing or incorrect data in large structured datasets, collaborating with business analysts and engineers.

The ideal candidate has a strong background in mathematics, statistics and databases, plus hands-on experience with data modeling, data mining tools and reporting platforms.

Qualifications

• Bachelor's degree in Computer Science or related field required.
• 8 years of experience with an application development environment, RDBMS, relational design and/or object technology preferred.
• Experience working with SQL databases is a plus.
• Must have experience with relational data modeling and data mining tools and/or other BI tools; use of Crystal Reports recommended.
• Five years of experience with data analysis and reporting tools required.
• Experience with data visualization and dashboarding is a plus.

Responsibilities

• Conducts data validation testing, applying both manual and automated methods, to ensure data quality is maintained within a system or business entity
• Prepares reports for program management and product owners to support decisions regarding project goals, objectives, performance and risk
• Reviews customer data to identify and mitigate errors, inaccuracies, anomalies, inconsistencies and improper processing
• Participates in the analysis of experimental results and testing methodology to determine appropriate and effective solutions
• Implements tools and processes designed to comply with the organization's data quality standards and regulations

Skills

Data analysis

Data mining

Data visualization

Dashboarding

Education

Bachelor's degree in Computer Science or related field

Tools

SQL databases

Crystal Reports

BI tools

Job description

Boardroom Appointments is seeking a Data Quality Engineer to analyze, design and implement data quality solutions within the Data Science team. The role focuses on identifying missing or incorrect data in large structured datasets, collaborating with business analysts and engineers.

The ideal candidate has a strong background in mathematics, statistics and databases, plus hands-on experience with data modeling, data mining tools and reporting platforms.