About the Role
The role involves identifying and resolving data quality issues, designing test frameworks, and ensuring robust validation across data pipelines and systems.
Responsibilities
- Develop and execute test plans for data pipelines and ETL processes
- Identify data inconsistencies and work with teams to resolve root causes
- Design automated testing frameworks to improve data validation efficiency
- Collaborate with data engineers and analysts to ensure data accuracy
- Monitor data quality metrics and report on key findings
- Validate data transformations across multiple systems and databases
- Document testing procedures and maintain quality assurance standards
- Support deployment of data changes through staging and production environments
- Investigate and troubleshoot data discrepancies reported by stakeholders
- Implement best practices for data testing and validation
- Ensure compliance with data governance policies
- Work with cross-functional teams to align on data definitions and standards
- Conduct root cause analysis for recurring data quality issues
- Maintain version control for test scripts and documentation
- Participate in code and design reviews for data-related components
- Evaluate new tools and technologies to enhance testing capabilities
- Assist in the creation of data quality dashboards and reporting tools
- Ensure metadata accuracy and consistency across platforms
- Support integration testing for new data sources and systems
- Promote a culture of quality across data development teams
Nice to Have
- Experience with data quality tools such as Great Expectations or Deequ
- Exposure to machine learning pipelines and model validation
- Certifications in data management or quality assurance
- Background in financial or transactional data systems
- Knowledge of regulatory compliance related to data handling
Compensation
Competitive salary based on experience and location
Work Arrangement
Hybrid work model with flexibility for remote and office presence
Team
Collaborative team focused on data integrity and software quality
Why This Role Matters
Data accuracy is critical to business decisions, and this role ensures trust in data across systems and teams.
What We Offer
Opportunities for professional growth, flexible working conditions, and access to cutting-edge data technologies.
Available for qualified candidates requiring relocation support
