At a glanceSummarised by Seekless from the posting.
Must have8
Develop and maintain automated test suites for Databricks jobs, Delta tables, views, data transformations, and ETL pipelines
Validate metric calculations, business rules, aggregations, derived values, and source-to-target data transformations within Databricks
Perform source-to-target reconciliation and validate data completeness, accuracy, consistency, timeliness, and referential integrity across systems
Develop automated tests for full and incremental loads, updates, deletes, retries, exception handling, and recovery scenarios
Create test data, SQL validation queries, reusable utilities, and reconciliation frameworks to improve testing efficiency and coverage
Integrate automated data tests into CI/CD pipelines and enhance test automation frameworks and processes
Perform functional, integration, regression, and end-to-end testing across large-scale data solutions
Analyze test failures, conduct root cause analysis, document defects, and collaborate with data engineering and platform teams to resolve issues
Nice to have2
Validate data and integrations involving Stardog, knowledge graph platforms, and other data technologies
Test knowledge graph structures, ontologies, relationships, mappings, SPARQL queries, data lineage, and provenance
Skills
Databricks
SQL
CI/CD
Stardog
SPARQL
Benefits
Health insurance
401(k)
About the company
When you’re the best, we’re the best. We instill an environment where employees feel engaged, satisfied and able to contribute their unique skills and talents while living and working as their authentic selves. We provide extensive opportunities for personal and professional development, building both employee competence and organizational capability to fuel exceptional performance through an inclusive environment both now and in the future.
Responsibilities:
Required Responsibilities
•
Develop and maintain automated test suites for Databricks jobs, Delta tables, views, data transformations, and ETL pipelines.
•
Validate metric calculations, business rules, aggregations, derived values, and source-to-target data transformations within Databricks.
•
Perform source-to-target reconciliation and validate data completeness, accuracy, consistency, timeliness, and referential integrity across systems.
•
Develop automated tests for full and incremental loads, updates, deletes, retries, exception handling, and recovery scenarios.
•
Create test data, SQL validation queries, reusable utilities, and reconciliation frameworks to improve testing efficiency and coverage.
•
Integrate automated data tests into CI/CD pipelines and enhance test automation frameworks and processes.
•
Perform functional, integration, regression, and end-to-end testing across large-scale data solutions.
•
Analyze test failures, conduct root cause analysis, document defects, and collaborate with data engineering and platform teams to resolve issues.
Preferred Responsibilities
•
Validate data and integrations involving Stardog, knowledge graph platforms, and other data technologies.
•
Test knowledge graph structures, ontologies, relationships, mappings, SPARQL queries, data lineage, and provenance.
Estimated Hiring Range:
At Vizient, we consider skills, experience, and organizational needs in our compensation approach. Geographic factors may adjust the range estimate and hires typically fall below the top range. Compensation decisions are tailored to individual circumstances. The current salary range for this role is $88,900.00 to $155,500.00.
Benefits
This position is also incentive eligible.
Vizient has a comprehensive benefits plan! Please view our benefits here:
http://www.vizientinc.com/about-us/careers
Equal Opportunity Employer: Females/Minorities/Veterans/Individuals with Disabilities
The Company is committed to equal employment opportunity to all employees and applicants without regard to race, religion, color, gender identity, ethnicity, age, national origin, sexual orientation, disability status, veteran status or any other category protected by applicable law.