Data Engineer(QA)

Persistent Systems; Pune District; Hybrid; INR 2,800,000 - 4,200,000; Full time

Benefits offered by this job

Hybrid work

Company-sponsored higher education and

Long Service awards

Insurance coverage: group term life, a

Job summary

Persistent Systems seeks a Senior Data Engineer / Analytics Engineer to design, build, and optimize scalable data pipelines using Salesforce, DBT, Snowflake, and Fivetran. The role focuses on data validation, ETL/ELT testing, and enabling BI initiatives across modern tools.

Experience migrating legacy BI to Sigma Computing or Omni is highly desirable. Will collaborate with Data Engineers, Analysts, and Product Teams; engage in Agile ceremonies, create reusable test scripts, and ensure data

Qualifications

• Experience in Quality Assurance, including Manual and Automation Testing.
• Strong hands-on experience in Snowflake Testing, DBT (Data Build Tool), and SQL-based data validation.
• Proven experience in ETL/Data Warehouse Testing, data migration testing, and source-to-target data validation.
• Expertise in designing and executing Functional, Regression, Integration, System, and User Acceptance Testing (UAT).
• Strong experience with test automation frameworks using Selenium, Playwright, Cypress, UFT, or similar technologies.
• Hands-on experience in creating test plans, test cases, test scripts, and maintaining testing documentation.
• Ability to develop complex SQL queries for backend testing, data reconciliation, and reporting validation.
• Experience working with defect management and test management tools such as JIRA, Azure DevOps, and TestRail.
• Strong understanding of Healthcare domain, including Claims, Member, Provider, Clinical, and Healthcare Analytics data.
• Familiarity with Agile/Scrum methodologies and collaboration with cross-functional teams including Data Engineers, Business Analysts, and Product Owners.

Responsibilities

• Design, develop, and execute comprehensive test plans, test cases, and test scenarios for data and application testing.
• Perform Manual Testing and Automation Testing for data platforms and healthcare applications.
• Validate DBT models, transformations, business rules, and data quality checks.
• Conduct Snowflake Testing, including data validation, reconciliation, and performance verification.
• Execute ETL/ELT Testing to ensure accurate movement and transformation of data from source to target systems.
• Develop and run complex SQL queries for backend and data validation testing.
• Perform Regression, Functional, Integration, System, and UAT Testing.
• Identify, track, and manage defects using tools such as Jira or Azure DevOps.
• Collaborate with Data Engineers, Business Analysts, and Product Teams to understand requirements and ensure test coverage.
• Participate in Agile ceremonies including sprint planning, grooming, and retrospectives.
• Create and maintain automation frameworks and reusable test scripts.
• Ensure compliance with healthcare data standards and data quality requirements.

Skills

Quality Assurance

Manual Testing

Automation Testing

SQL

Data Validation

Data Warehousing

Agile/Scrum

Collaboration

Problem Solving

Tools

Snowflake

DBT

Salesforce

Fivetran

Sigma Computing

Omni

Jira

Azure DevOps

TestRail

Job description

We are seeking a highly skilled Senior Data Engineer / Analytics Engineer with strong experience in Salesforce, DBT, Snowflake, and Fivetran to design, develop, and optimize scalable data solutions. The ideal candidate will be responsible for building robust data pipelines, enabling analytics, and supporting business intelligence initiatives. Experience in migrating from legacy BI platforms to modern BI tools such as Sigma Computing, Omni, or similar platforms is highly desirable.

• Location: All Persistent Locations
• Experience: 8 to 12 Years
• Job Type: Full Time Employment

What You’ll Do:

• Design, develop, and execute comprehensive test plans, test cases, and test scenarios for data and application testing.
• Perform Manual Testing and Automation Testing for data platforms and healthcare applications.
• Validate DBT models, transformations, business rules, and data quality checks.
• Conduct Snowflake Testing, including data validation, reconciliation, and performance verification.
• Execute ETL/ELT Testing to ensure accurate movement and transformation of data from source to target systems.
• Develop and run complex SQL queries for backend and data validation testing.
• Perform Regression, Functional, Integration, System, and UAT Testing.
• Identify, track, and manage defects using tools such as Jira or Azure DevOps.
• Collaborate with Data Engineers, Business Analysts, and Product Teams to understand requirements and ensure test coverage.
• Participate in Agile ceremonies including sprint planning, grooming, and retrospectives.
• Create and maintain automation frameworks and reusable test scripts.
• Ensure compliance with healthcare data standards and data quality requirements.

Expertise You’ll Bring:

• Experience in Quality Assurance, including Manual and Automation Testing.
• Strong hands‑on experience in Snowflake Testing, DBT (Data Build Tool), and SQL‑based data validation.
• Proven experience in ETL/Data Warehouse Testing, data migration testing, and source‑to‑target data validation.
• Expertise in designing and executing Functional, Regression, Integration, System, and User Acceptance Testing (UAT).
• Strong experience with test automation frameworks using tools such as Selenium, Playwright, Cypress, UFT, or similar technologies.
• Hands‑on experience in creating test plans, test cases, test scripts, and maintaining testing documentation.
• Ability to develop complex SQL queries for backend testing, data reconciliation, and reporting validation.
• Experience working with defect management and test management tools such as JIRA, Azure DevOps, and TestRail.
• Strong understanding of Healthcare domain, including Claims, Member, Provider, Clinical, and Healthcare Analytics data.
• Familiarity with Agile/Scrum methodologies and collaboration with cross‑functional teams including Data Engineers, Business Analysts, and Product Owners.
• Excellent analytical, problem‑solving, communication, and stakeholder management skills
• Competitive salary and benefits package
• Culture focused on talent development with quarterly growth opportunities and company‑sponsored higher education and certifications
• Opportunity to work with cutting-edge technologies
• Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards
• Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents

Values-Driven, People-Centric & Inclusive Work Environment:

Persistent is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds.

• We support hybrid work and flexible hours to fit diverse lifestyles.
• Our office is accessibility‑friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities.
• If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment

Let’s unleash your full potential at Persistent - persistent.com/careers

\"Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.\"