Data Quality Engineer-SQL-ETL

Praxis Consultants; Riyadh; On-site; SAR 150,000 - 200,000; Full time

Job summary

A leading company is seeking a Data Quality Engineer to ensure the accuracy and reliability of data across various systems. This role involves developing data quality frameworks, monitoring metrics, and resolving issues while collaborating with data teams. The ideal candidate will have a Bachelor's degree in Computer Science and substantive experience in data quality management.

Qualifications

• 4-7 years’ experience in data quality management or related role.
• Strong understanding of data quality principles.
• Experience with data visualization tools is a plus.

Responsibilities

• Develop and implement data quality frameworks.
• Monitor and maintain data quality metrics and dashboards.
• Investigate and troubleshoot data quality issues.

Skills

Data Quality Management

SQL

Spark

Python

Analytical Skills

Education

Bachelor’s degree in Computer Science

Tools

Talend

Informatica

DataRobot

Tableau

Power BI

Job description

Job Summary

We are seeking a detail-oriented and analytical Data Quality Engineer to join our team. The ideal candidate will be responsible for ensuring the accuracy, integrity, and reliability of our data across various systems. You will work closely with data engineers, data scientists, and other stakeholders to implement data quality processes and address data quality issues.

Key Responsibilities:

1. Data Quality Assessment:
   • Develop and implement data quality frameworks, including data profiling, cleansing, and validation processes.
   • Design and execute data quality tests and evaluations to identify and resolve data discrepancies and anomalies.
2. Data Monitoring:
   • Monitor and maintain data quality metrics and dashboards to provide ongoing visibility into data health.
   • Establish data quality rules and standards in collaboration with business and technical teams.
3. Issue Resolution:
   • Investigate and troubleshoot data quality issues, including root cause analysis and resolution.
   • Work with data engineering teams to design and deploy data correction procedures.
4. Documentation and Reporting:
   • Document data quality processes, methodologies, and best practices.
   • Generate regular reports on data quality metrics, trends, and issues.

Qualifications:

• Bachelor’s degree in Computer Science
• Proven 4-7 years’ experience in data quality management, data engineering, or a related role.
• Strong understanding of data quality principles, data profiling, and data cleansing techniques.
• Proficiency in SQL, spark, python and experience with data querying and manipulation.
• Familiarity with data quality tools and platforms (e.g., Talend, Informatica, DataRobot).
• Experience with data visualization tools (e.g., Tableau, Power BI) is a plus.
• Strong analytical, problem-solving, and troubleshooting skills.
• Excellent communication and interpersonal skills.