QA Engineer (Data/Snowflake and Salesforce)

Qloron; Bengaluru; On-site; INR 1,400,000 - 2,100,000; Full time

Job summary

Qloron Pvt Ltd is seeking a QA Engineer specializing in Snowflake and Salesforce data validation. The role focuses on validating data pipelines, implementing test automation, and ensuring data quality across Snowflake-based platforms.

Ideal candidates will have 5–10 years of QA experience with hands-on Snowflake and Salesforce Service Cloud testing. The position requires end-to-end pipeline testing, collaboration with data engineers and product teams, and strong SQL skills to validate

Qualifications

• 5-10 years of QA experience focusing on data platform testing.
• Hands-on Snowflake testing including data models and performance.
• Strong SQL skills for complex queries and data validation.
• Experience in end-to-end ETL/ELT testing and data workflows.
• Experience in test automation for data platforms (Python-based frameworks, SQL automation).
• Experience with Salesforce Service Cloud data integrations and mappings.
• Familiarity with Data Automation & AI concepts and data governance.

Responsibilities

• Perform end-to-end testing of data pipelines, including ingestion, transformation, and consumption layers on the Snowflake data platform.
• Design, develop, and execute comprehensive test cases and test scenarios for data validation and data quality checks.
• Validate data accuracy, completeness, and consistency across multiple data sources and target systems.
• Develop and maintain automated tests for data pipelines and data workflows.
• Write and optimize complex SQL queries to validate business rules, transformations, and data integrity in Snowflake and related systems.
• Collaborate with data engineers, developers, and business stakeholders to understand data requirements and define test strategies and acceptance criteria.
• Identify, document, and track defects, and work with engineering teams to ensure timely resolution.
• Perform regression testing for changes in data pipelines, schemas, and configurations to ensure stability and reliability.
• Validate integrations between Snowflake and Salesforce Service Cloud, ensuring data flows and mappings are accurate and reliable.
• Contribute to continuous improvement of QA processes, test automation coverage, and quality standards for the data platform.
• Support root cause analysis for data issues and production defects, and help implement preventive measures.
• Ensure adherence to best practices for data security, compliance, and governance in testing activities.

Skills

Snowflake QA/Testing

Salesforce Service Cloud Testing

SQL

Test automation

Python-based frameworks

Data validation

Data pipelines testing

Communication skills

Education

Bachelor’s degree in Computer Science/IT/Engineering

Job description

QA Engineer (Data/Snowflake and Salesforce)

5-10 Years

Full-Time

JOB ID: QT-SNB-11-464

QA (Snowflake and Salesforce) - We are seeking candidates with hands on experience in Snowflake QA/Testing and Salesforce Service Cloud Testing. Candidates without hands on experience in Snowflake and Salesforce, would not be suitable.

Only Immediate Joiner

Expected Work Experience

5 to 10 Years

Job Summary

The QA Engineer – (Data Platform and Salesforce) will be responsible for validating data pipelines, ensuring data quality, and supporting automated testing across a Snowflake-based data platform. The role involves end-to-end pipeline testing, test automation, and close collaboration with data engineering and product teams. Candidate must have relevant experience of 5 to 10 Years.

Key Responsibilities

• Perform end-to-end testing of data pipelines, including ingestion, transformation, and consumption layers on the Snowflake data platform.
• Design, develop, and execute comprehensive test cases and test scenarios for data validation and data quality checks.
• Validate data accuracy, completeness, and consistency across multiple data sources and target systems.
• Develop and maintain automated tests for data pipelines and data workflows using appropriate test automation frameworks and tools.
• Write and optimize complex SQL queries to validate business rules, transformations, and data integrity in Snowflake and related systems.
• Collaborate with data engineers, developers, and business stakeholders to understand data requirements and define test strategies and acceptance criteria.
• Identify, document, and track defects, and work with engineering teams to ensure timely resolution.
• Perform regression testing for changes in data pipelines, schemas, and configurations to ensure stability and reliability.
• Validate integrations between Snowflake and Salesforce Service Cloud, ensuring data flows and mappings are accurate and reliable.
• Contribute to continuous improvement of QA processes, test automation coverage, and quality standards for the data platform.
• Support root cause analysis for data issues and production defects, and help implement preventive measures.
• Ensure adherence to best practices for data security, compliance, and governance in testing activities.

Other Capabilities

• Strong analytical and problem-solving skills with attention to detail in data validation and issue analysis.
• Ability to work effectively in a contractor capacity within cross-functional and distributed teams.
• Good communication skills to clearly articulate test results, defects, and data quality issues to technical and non-technical stakeholders.
• Proactive mindset with the ability to work independently and manage priorities in a fast-paced environment.
• Adaptability to work with evolving data platforms, tools, and processes in Data Automation & AI initiatives.

Qualifications and Skills

• 5 to 10 years of experience in QA, with a focus on data platform testing and data validation.
• Hands-on experience with Snowflake, including testing data models, transformations, and performance aspects.
• Strong SQL skills for writing complex queries, joins, aggregations, and validations across large datasets.
• Experience in end-to-end pipeline testing, including ETL/ELT processes and data workflows.
• Proven experience in test automation for data platforms, using relevant frameworks and tools (e.g., Python-based frameworks, SQL automation, or data testing tools).
• Experience working with Salesforce Service Cloud, including validation of data integrations, mappings, and synchronization between systems.
• Familiarity with Data Automation & AI concepts and their impact on data quality and testing approaches.
• Understanding of data warehousing concepts, data modeling, and BI/reporting validations.
• Experience with defect tracking and test management tools.
• Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent industry experience.