Automation Quality Engineer Lead

Requisition ID 2026-6314
Role
Data Analytics & Automation
Pay Class
Full Time
Location Status
Hybrid
Business Unit
SG&A
Location Listed on Requisition Posting : City
Hyderabad
Work Shift
MID Work Shift

About Us

Ventra is a leading business solutions provider for facility-based physicians practicing anesthesia, emergency medicine, hospital medicine, pathology, and radiology. Focused on Revenue Cycle Management, Ventra partners with private practices, hospitals, health systems, and ambulatory surgery centers to deliver transparent and data-driven solutions that solve the most complex revenue and reimbursement issues, enabling clinicians to focus on providing outstanding care to their patients and communities.

  • Come Join Our Team!
    • As part of our robust Rewards & Recognition program, this role is eligible for our Ventra performance-based incentive plan, because we believe great work deserves great rewards.

  • Help Us Grow Our Dream Team — Join Us, Refer a Friend, and Earn a Referral Bonus!

Job Summary

 

We are seeking a highly skilled Lead Automation QA to drive the quality engineering strategy for a modern analytics platform built on Snowflake and Microsoft Power BI.

This role will lead automation testing for data pipelines, transformations, data models, and BI dashboards. The ideal candidate has deep experience in data warehouse testing, ETL/ELT validation, BI testing, and building robust automation frameworks for large-scale analytics programs.

You will collaborate closely with Data Engineers, BI Developers, Architects, Product Owners, and DevOps teams to ensure data accuracy, performance, and reliability across the analytics ecosystem.

Essential Functions and Tasks

  • Quality Strategy & Leadership

    • Define and implement the end-to-end QA strategy for the Snowflake-based data warehouse and Power BI reporting environment.
    • Establish automation-first testing practices for data and analytics systems.
    • Lead and mentor QA engineers and data testers.
    • Define quality metrics, KPIs, and reporting dashboards.

    Data Warehouse & ETL/ELT Testing

    • Validate data ingestion pipelines into Snowflake.
    • Test transformations, aggregations, joins, and business logic.
    • Perform source-to-target data validation.
    • Validate data reconciliation, completeness, accuracy, and integrity.
    • Implement automated data comparison and validation frameworks.

    BI & Analytics Testing (Power BI)

    • Validate datasets, semantic models, DAX calculations, and measures in Microsoft Power BI.
    • Test report visuals, filters, slicers, drill-through, row-level security (RLS), and performance.
    • Validate dashboard performance and query optimization.
    • Ensure consistency between warehouse data and published reports.

    Automation Framework Development

    • Design and implement scalable automation frameworks for:
      • Data validation
      • Regression testing
      • API testing
      • Data pipeline testing
    • Integrate automated test suites into CI/CD pipelines.
    • Enable automated reconciliation between source systems and Snowflake.

    Performance & Security Testing

    • Conduct query performance benchmarking in Snowflake.
    • Validate warehouse scaling and workload behavior.
    • Test data masking, RLS, and access controls.
    • Validate compliance with governance standards.

    DevOps & CI/CD Integration

    • Integrate QA processes into DevOps pipelines.
    • Enable automated testing in build and deployment workflows.
    • Work with data engineers to implement shift-left testing practices.

     

Education and Experience Requirements

  • 5+ years of experience in QA and Test Automation, with at least 3+ years focused on data warehouse, ETL/ELT, and analytics testing.
  • Hands-on experience with Snowflake, including testing of data pipelines, query performance, RBAC, masking policies, and warehouse scaling behavior.
  • Strong experience testing Power BI, including semantic models, DAX validation, RLS.
  • Proven expertise building and maintaining automation frameworks using Python, Java, Great Expectations, dbt tests, or similar data-focused validation tools.
  • Advanced SQL proficiency, including complex joins, aggregations, window functions, and performance troubleshooting.
  • Experience integrating automated tests into CI/CD pipelines (Azure DevOps, GitHub) and version control (Git).
  • Demonstrated leadership experience, including defining QA strategy, mentoring QA engineers, and partnering with Data Engineering and BI teams.
  • Excellent communication and stakeholder management skills, with the ability to translate business rules into test cases and drive quality governance.
  • Ability to work in Agile/Scrum environments, participating in sprint ceremonies and enabling shift-left testing practices.

Knowledge, Skills, and Abilities

 

Technical Skills (Required)

  • SQL (advanced level)
  • Python / Java for automation scripting
  • Dbt/ pytest testing frameworks
  • Great Expectations or similar data quality tools
  • Familiarity in using:
    • CI/CD tools (Azure DevOps, GitHub Actions, Jenkins)
    • Version control (Git)
    • Experience with cloud platforms (Azure / AWS)

 

Key Competencies

  • Strong analytical and problem-solving skills
  • Attention to detail and data accuracy
  • Leadership and mentoring ability
  • Strong stakeholder communication skills
  • Ability to translate business rules into test cases
  • Risk identification and mitigation mindset

 

Nice to Have

  • REST API testing (Postman, RestAssured)
    • Snowflake certification
    • Microsoft Power BI certification
    • Experience with large-scale enterprise data transformations
    • Experience in regulated industries (finance, healthcare, insurance)

Compensation

  • Base Compensation will be based on various factors unique to each candidate including geographic location, skill set, experience, qualifications, and other job-related reasons. 
  • This position is also eligible for a discretionary incentive bonus in accordance with company policies. 

Ventra Health

Equal Employment Opportunity (Applicable only in the US)
Ventra Health is an equal opportunity employer committed to fostering a culturally diverse organization. We strive for inclusiveness and a workplace where mutual respect is paramount. We encourage applications from a diverse pool of candidates, and all qualified applicants will receive consideration for employment without regard to race, color, ethnicity, religion, sex, age, national origin, disability, sexual orientation, gender identity and expression, or veteran status. We will provide reasonable accommodations to qualified individuals with disabilities, as needed, to assist them in performing essential job functions.
 
Recruitment Agencies
Ventra Health does not accept unsolicited agency resumes. Ventra Health is not responsible for any fees related to unsolicited resumes.
 
Solicitation of Payment
Ventra Health does not solicit payment from our applicants and candidates for consideration or placement.

 

Attention Candidates
Please be aware that there have been reports of individuals falsely claiming to represent Ventra Health or one of our affiliated entities Ventra Health Private Limited and Ventra Health Global Services. These scammers may attempt to conduct fake interviews, solicit personal information, and, in some cases, have sent fraudulent offer letters.
To protect yourself, verify any communication you receive by contacting us directly through our official channels. If you have any doubts, please contact us at Careers@VentraHealth.com to confirm the legitimacy of the offer and the person who contacted you. All legitimate roles are posted on https://ventrahealth.com/careers/. 

 

Statement of Accessibility
Ventra Health is committed to making our digital experiences accessible to all users, regardless of ability or assistive technology preferences. We continually work to enhance the user experience through ongoing improvements and adherence to accessibility standards. Please review at https://ventrahealth.com/statement-of-accessibility/.

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