Specialist - Quality Engineering
Vivantify Technology Solutions India Pvt. Ltd. • Bengaluru, Karnataka, India
**Role & seniority: ** Salesforce Data Cloud Quality Engineer (5–7 years), Permanent; 1 opening
**Location & work type: ** Bengaluru, Permanent (work with distributed Agile/Scrum teams; onshore/nearshore collaboration)
**Stack/tools: **
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Salesforce Data Cloud / Data 360
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Salesforce Platform (5–7 years total)
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Salesforce Service Cloud (FSL/SMAX) testing
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Python (test automation for large datasets)
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SOQL (validation/debugging/reporting)
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Data quality validation across ingestion/unification/segmentation/activation
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Data lake integration testing; defect management; test documentation; QE metrics
**Top 3 responsibilities: **
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Design and execute test strategies for Data Cloud/Data 360 workflows (ingestion → unification → identity resolution → segmentation → activation).
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Validate data models, segmentation rules, and identity resolution outputs against business acceptance criteria; run data quality checks (completeness/accuracy/consistency/timeliness).
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Build Python automated test scripts and use SOQL for large-scale data validation, debugging, reporting; manage defects and maintain test cases/QE metrics.
**Must-have skills: **
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Python test automation (3+ years) for large datasets
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Salesforce Data Cloud / Data 360 testing (3–5 years; retail background required)
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SOQL (3–4 years)
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Data quality validation, data modeling/testing (3+ years)
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Segmentation rule valida
Full Description
Location: Bengaluru
Experience: 5–7 Years
Openings: 1
Employment Type: Permanent
About The Role
We are seeking an experienced Salesforce Data Cloud Quality Engineer to support the Data 360 initiative. The role focuses on testing and validating Salesforce Data Cloud, ensuring data quality, integrity, and accuracy across ingestion, unification, segmentation, and activation processes. The engineer will work closely with distributed Agile teams to deliver reliable data solutions.
Job Description
The role involves designing and executing comprehensive test strategies for Salesforce Data Cloud, including data ingestion, data models, identity resolution, segmentation, and activation pipelines. The engineer will validate outputs against business acceptance criteria and perform detailed data quality checks.
The position also requires developing Python-based automation for large-scale data validation and using SOQL for data validation, debugging, and reporting. Experience with data lake integration testing, defect management, test documentation, and QE metrics is also required.
Key Responsibilities
Design and execute test strategies for Salesforce Data Cloud and Data 360 workflows. Validate data models, segmentation rules, and identity resolution results. Develop Python-based automated test scripts for large datasets. Write and execute SOQL queries for validation, debugging, and reporting. Perform data quality checks covering completeness, accuracy, consistency, and timeliness. Support data lake integration testing and end-to-end validation. Manage defects through the complete lifecycle and maintain test cases and QE metrics. Participate in Agile/Scrum ceremonies and collaborate with onshore and nearshore teams.
Required Skills
Salesforce Data Cloud / Data 360 – 3–5 years; retail background required. Core Salesforce Platform – 5–7 years. SOQL – 3–4 years. Python Test Automation for large datasets – 3+ years. Data Modeling and Testing – 3+ years. Segmentation Rule Validation. Data Quality Validation. Data Lake Experience. Salesforce Service Cloud (FSL/SMAX) Testing. Test Reports and Dashboards – Testing.
Mandatory Skills
Python Salesforce Data Cloud Salesforce Service Cloud (FSL/SMAX) Testing Test Reports and Dashboards – Testing
Candidate Profile
The ideal candidate will have 5–7 years of quality engineering experience, with strong expertise in Salesforce platforms and data-focused testing. The candidate should be comfortable with Python automation, SOQL, data validation, Salesforce Data Cloud, and Agile collaboration across distributed teams.
Benefits Package
Competitive salary and benefits package Opportunities for professional growth and development A collaborative and inclusive work environment The opportunity to work on exciting and challenging projects with leading clients
