Job Description
- Key Responsibilities
- Perform detailed data validation between legacy production dataflows and new Databricks-based sources.
- Analyze and confirm accuracy of migrated data points and business logic.
- Test report functionality and ensure outputs align with expected business rules.
- Identify, document, and communicate data inconsistencies, defects, and root causes.
- Partner closely with IT and data engineering teams to resolve issues and track ticket progress.
- Provide regular written and verbal updates on validation progress, findings, and outstanding risks.
- Work independently as a self-starter, managing workload and timelines with minimal direction. Qualifications
- Experience with data validation, QA, or analytical testing in a data engineering or reporting environment.
- Familiarity with data warehouses, ETL/dataflow testing, or Databricks preferred.
- Strong SQL and Excel skills; ability to compare datasets and troubleshoot discrepancies.
- Excellent communication skills, including summarizing findings for technical and non-technical audiences.
- High attention to detail and strong problem-solving mindset.
- Perform detailed data validation between legacy production dataflows and new Databricks-based sources.
- Analyze and confirm accuracy of migrated data points and business logic.
- Test report functionality and ensure outputs align with expected business rules.
- Identify, document, and communicate data inconsistencies, defects, and root causes.
- Partner closely with IT and data engineering teams to resolve issues and track ticket progress.
- Provide regular written and verbal updates on validation progress, findings, and outstanding risks.
- Work independently as a self-starter, managing workload and timelines with minimal direction.
Apply Now
Apply Now