Specialist - Quality Engineering

Vivantify Technology Solutions India Private Limited; Bengaluru; On-site; INR 1,500,000 - 2,200,000; Full time

Benefits offered by this job

Competitive salary and benefits

Professional growth opportunities

Collaborative work environment

Job summary

Vivantify Technology Solutions India Private Limited is seeking an experienced Salesforce Data Cloud Quality Engineer to ensure data quality across ingestion, unification, segmentation, and activation. You will design test strategies, develop Python automation, and validate outputs against business criteria.

You will work with distributed Agile teams, perform data validation using SOQL, and contribute to QE metrics and defect lifecycle management in a fast-paced environment.

Qualifications

• 5–7 years of quality engineering experience with Salesforce platforms and data-focused testing.
• Experience testing Salesforce Data Cloud / Data 360 workflows and data lake integrations.
• Proficient in Python automation for large datasets and SOQL-based validation.

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 for completeness, accuracy, consistency, and timeliness.
• Support data lake integration testing and end-to-end validation.
• Manage defects through the lifecycle and maintain QE metrics.
• Participate in Agile/Scrum ceremonies with distributed teams.

Skills

Salesforce Data Cloud / Data 360

Core Salesforce Platform

SOQL

Python Test Automation

Data Modeling and Testing

Segmentation Rule Validation

Data Quality Validation

Data Lake Experience

Salesforce Service Cloud (FSL/SMAX)

Test Reports and Dashboards

Job 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