We are seeking a talented Senior Data Quality Engineer to join our team and ensure the integrity and reliability of our data systems. In this role, you will play a critical part in designing and implementing data quality strategies that meet business needs while supporting data governance processes. You will work closely with cross-functional teams to build robust data testing frameworks, maintain high-quality standards, and troubleshoot issues to ensure seamless data integration and performance. If you are passionate about data quality and enjoy solving complex challenges, we encourage you to apply.

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Responsibilities

Collaborate with product, engineering, and customer teams to gather requirements and develop a comprehensive data quality strategy
Lead data governance processes, including data preparation, obfuscation, integration, slicing, and quality control
Test data pipelines, ETL processes, APIs, and system performance to ensure reliability and accuracy
Prepare test data sets, conduct data profiling, and perform benchmarking to identify inconsistencies or inefficiencies
Create and implement strategies to verify the quality of data products and ensure alignment with business standards
Set up data quality environments and applications in compliance with defined standards, contributing to CI/CD process improvements
Participate in the design and maintenance of data platforms and build automation frameworks for data quality testing, including resolving potential issues
Provide support in troubleshooting data-related issues, ensuring timely resolution
Ensure all data quality processes and tools align with organizational goals and industry best practices
Collaborate with stakeholders to enhance data platforms and optimize data quality workflows

Requirements

Bachelor’s degree in Computer Science or a related technical field involving coding, such as physics or mathematics
At least three years of hands-on experience in Data Management, Data Quality verification, Data Governance, or Data Integration
Strong understanding of data pipelines, Data Lakes, and ETL testing methodologies
Proficiency in CI/CD principles and their application in data processing
Comprehensive knowledge of SQL, including aggregation and window functions
Experience in scripting with Python or similar programming languages
Proficiency working with one of the major cloud providers, such as AWS, Azure, or GCP
Experience in developing test automation frameworks for data quality assurance
Familiarity with Big Data principles and their application in modern data systems
Experience in data analysis and requirements validation, including gathering and interpreting business needs
Experience in maintaining QA environments to ensure smooth testing and deployment processes
Hands-on experience in Test Planning, Test Case design, and Test Result Reporting in data projects
Strong analytical skills, with the ability to approach problems methodically and communicate solutions effectively
English proficiency at B2 level or higher, with excellent verbal and written communication skills

Nice to have

Familiarity with advanced data visualization tools to enhance reporting and insights
Experience in working with distributed data systems and frameworks