The Role
Lead quality engineer responsible for designing and executing data and ETL testing strategies across Salesforce Service Cloud and cloud data platforms. Develops automated Python tests, validates data pipelines through reconciliation and quality checks, tests AI/ML outputs, manages defects, reports data quality metrics, and supports UAT and regression testing. Requires advanced SQL, Salesforce, Snowflake or similar platforms, data quality frameworks, and test automation expertise.
Summary Generated by Built In
Lead Quality Engineer
Primary Skills
- Salesforce Service Cloud-Case Management, Salesforce Service Cloud-Digital Engagement, Salesforce Service Cloud-Field Service, Salesforce Sales Cloud-Territory Planning, Salesforce Service Cloud-Self Service
Specialization
- Salesforce Service Cloud: Lead Engineer
Job requirements
- Experience Range: With at least 4 years of experience in data and ETL testing, including hands-on expertise with Salesforce Service Cloud and cloud data platforms Key Responsibilities: 1. Develop and execute comprehensive test strategies and cases for data pipelines, matching logic, and Salesforce Service Cloud workbench functionalities 2. Perform source-to-target and row/column reconciliation testing to ensure data accuracy and completeness throughout migration and transformation processes 3. Build and integrate automated data tests in Python within ETL and Salesforce Service Cloud pipelines to enhance validation efficiency 4. Configure and validate data quality checks using Snowflake Cortex or equivalent tools on selected cloud platforms, adapting to technology stack requirements 5. Track and manage defects throughout the testing lifecycle, verify fixes, and ensure resolutions meet business requirements 6. Report actionable data quality metrics and insights to internal teams and stakeholders, supporting continuous improvement in data reliability 7. Validate AI/ML-assisted profiling, anomaly detection, and mismatch flagging, measuring accuracy including false positives and negatives prior to business decision-making 8. Support user acceptance testing (UAT) preparation and regression testing, ensuring production validation complies with business-approved rules and controls Required Skills: 1. Advanced SQL for data validation and reconciliation 2. Hands-on experience with Salesforce Service Cloud 3. Testing experience with Snowflake or similar cloud data platforms 4. Test automation using Python, including integration with ETL pipelines 5. Proficiency in data quality testing frameworks such as Great Expectations or Soda 6. Experience testing AI/ML outputs and utilizing data quality monitoring tools Preferred Skills: 1. Salesforce data testing in complex, multi-cloud environments 2. Knowledge of advanced anomaly detection algorithms and evaluation metrics 3. Experience integrating automated test suites in CI/CD pipelines 4. Expertise configuring and optimizing Snowflake Cortex Data Quality checks 5. Familiarity with Salesforce Sales Cloud-Territory Planning best practices Desired Qualifications: 1. Bachelor's degree in Computer Science, Information Technology, Data Engineering, or a related discipline 2. Salesforce Certified Administrator or Salesforce Service Cloud Consultant certification 3. Certification in data quality or ETL testing frameworks such as Great Expectations, Soda, or equivalent
Skills Required
- At least 4 years of experience in data and ETL testing
- Hands-on experience with Salesforce Service Cloud
- Advanced SQL for data validation and reconciliation
- Testing experience with Snowflake or similar cloud data platforms
- Python test automation integrated with ETL pipelines
- Proficiency with data quality testing frameworks such as Great Expectations or Soda
- Experience testing AI/ML outputs and using data quality monitoring tools
- Experience with Salesforce data testing in complex, multi-cloud environments
- Knowledge of anomaly detection algorithms and evaluation metrics
- Experience integrating automated test suites into CI/CD pipelines
- Expertise configuring and optimizing Snowflake Cortex data quality checks
- Familiarity with Salesforce Sales Cloud Territory Planning best practices
- Bachelor's degree in Computer Science, Information Technology, Data Engineering, or a related discipline
- Salesforce Certified Administrator or Salesforce Service Cloud Consultant certification
- Certification in data quality or ETL testing frameworks such as Great Expectations or Soda
Brillio Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Brillio and has not been reviewed or approved by Brillio.
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Healthcare Strength — Healthcare is considered comprehensive, including medical coverage for employees and dependents alongside life, disability, and accidental death protections. Feedback suggests these protections are a core strength of the package.
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Leave & Time Off Breadth — Time-off options include paid leave and parental leave, with flexible or ‘flexible PTO’ approaches cited in some contexts. Feedback suggests this breadth helps support work-life balance when team norms permit usage.
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Wellbeing & Lifestyle Benefits — Wellbeing offerings span counseling, financial-management sessions, fitness programs, and travel insurance, plus region-specific extras like discounted IT hardware and work-from-home essentials. Feedback suggests these add-ons enhance perceived value beyond core insurance.
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The Company
What We Do
Brillio is the leader in global digital business transformation, applying technology with a human touch. We help businesses define internal and external transformation objectives, and translate those objectives into actionable market strategies using proprietary technologies. With 2600+ experts and 13 offices worldwide, Brillio is the ideal partner for enterprises that want to quickly increase their core business productivity, and achieve a competitive edge, with the latest digital solutions.
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