Lead Quality Engineer - R01573000

Brillio; Bengaluru; Presencial; INR 500.000 - 900.000; Jornada completa

Descripción de la vacante

Brillio in Bengaluru, India seeks a Lead Quality Engineer to own data testing across Salesforce Service Cloud and cloud data pipelines. You will design test strategies, validate reconciliation, and drive automated testing in Python within ETL workflows.

The role requires strong SQL skills, experience with Snowflake, Great Expectations or Soda, and familiarity with AI/ML output validation. You will collaborate with data engineering and product teams to ensure reliable data-driven decisions.

Formación

• 4+ years in data/ETL testing with Salesforce Service Cloud.
• Strong SQL for data validation and reconciliation.
• Hands-on testing on Snowflake or similar cloud data platforms.
• Python-based test automation in ETL pipelines with Salesforce workstreams.
• Familiarity with data quality frameworks like Great Expectations or Soda.
• Experience validating AI/ML outputs and anomaly detection.

Responsabilidades

• Develop and execute test strategies and cases for data pipelines and Salesforce Service Cloud workbench.
• Perform source-to-target and row/column reconciliation testing during migrations.
• Build and integrate automated data tests in Python within ETL and Salesforce pipelines.
• Configure and validate data quality checks on cloud platforms (Snowflake Cortex or equivalents).
• Track and manage defects, verify fixes, and ensure alignment with business requirements.
• Report data quality metrics to stakeholders to drive improvements in reliability.
• Support UAT and regression testing ensuring compliance with rules and controls.

Conocimientos

Advanced SQL for data validation

Hands-on Salesforce Service Cloud

Snowflake or similar cloud data平台

Python test automation

Great Expectations or Soda

AI/ML output validation

Educación

Bachelor's degree in CS/IT/Data Engineering

Herramientas

Snowflake Cortex

Great Expectations

Soda

CI/CD pipelines

Descripción del empleo

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