Sr QA Analyst- Databricks– Enterprise Data & AI Platform
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Monthly Salary:
Posted on:
7 hours ago
Vacancies:
1 Vacancy
Job Summary
Sr QA Analyst- Databricks Enterprise Data & AI Platform
Location: Hybrid/Remote
Job Summary
We are seeking a QA Analyst to support quality assurance and User Acceptance Testing (UAT) activities for an Enterprise Data & AI Platform delivering AI/BI solutions built on Databricks. The platform enables complex data products including AI/ML use cases business intelligence and reporting and data integrations with internal and external systems. This role is hands-on and execution-focused in data analytics or platform testing. Reporting to the Sr. Director Analysis Change & Quality the QA Analyst will work within an Agile environment collaborating closely with Data Engineers Developers Product Owners and business stakeholders to ensure high-quality data solutions.
Key Responsibilities
Test Execution & QA Support
Execute test cases and test scenarios for:
Data pipelines on Databricks
BI dashboards reports and self-service analytics
APIs and data integrations supporting internal and external systems
Data exchanges and downstream consumption use cases
Perform functional integration regression and smoke testing under guidance from QA Lead and senior team members.
Validate data accuracy completeness and consistency using SQL and basic scripting where applicable.
Support data quality checks and reconciliation activities across source and target systems.
Log track and retest defects working closely with development teams through resolution.
Support User Acceptance Testing (UAT) by developing and executing UAT test cases and scenarios aligned to business requirements assisting business users during UAT cycles capturing feedback reproducing issues and documenting defects clearly and tracking UAT progress rigorously.
Participate in defect triage and retesting to ensure readiness for production releases.
Data Quality & Tool Exposure
Assist with data validation activities using tools and frameworks such as:
SQL-based checks
Data quality or observability tools (e.g. Monte Carlo Great Expectations exposure)
Gain exposure to data governance tools such as Azure Purview and Profisee MDM supporting validation and quality use cases as assigned.
Preferred Qualifications
Exposure to Tableau Databricks cloud data platforms or modern analytics environments.
Awareness of data quality data governance or MDM concepts.
ISTQB or other QA certification is a plus.
Key Skills
- Anti Money Laundering
- JSP
- Law Enforcement
- Account Management
- ABAP
- Digital
