
Data Validator Specialist
4 days ago
As a specialist in data validation, you will be responsible for ensuring the accuracy and quality of our data assets. This role requires a high level of expertise in designing and implementing validation frameworks to detect and prevent data inconsistencies.
Key Responsibilities:- Design and implement robust data validation frameworks to ensure data consistency and integrity
- Develop automated testing scripts to validate data against expected standards, using tools such as Azure Databricks (PySpark, Delta Lake) and Great Expectations/dbt tests
- Triage and resolve data-related issues efficiently, minimizing downtime and impact on operations
- Monitor and alert stakeholders to potential data quality issues, providing actionable insights for improvement
- Maintain up-to-date documentation and standards for data validation processes, ensuring seamless integration with existing systems
- 3-5 years of experience in data-quality or validation work, including at least one Azure lakehouse or migration project, with a strong focus on data analytics and business intelligence
- Proficiency in Azure Databricks (PySpark, Delta Lake), Azure Data Factory, and Great Expectations/dbt tests, with advanced SQL skills and Python for data testing and automation
- Experience with Power BI (or Tableau) to publish high-quality dashboards, driving business decisions with data-driven insights
- Deep understanding of data-quality dimensions and root-cause analysis, with CI/CD pipelines for data tests and continuous improvement
This is an excellent opportunity for a motivated professional to join our team and contribute to the success of our organization, working closely with cross-functional teams to drive innovation and excellence in software engineering.
We offer a dynamic and supportive work environment, with opportunities for growth and professional development, and a competitive compensation package that reflects your value to our organization.
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