Senior Software Engineer

Job description

Skill: Databricks QA Engineer / Senior Databricks QA Engineer

Experience: 4-9 Years

Locations: Pune | Bangalore | Hyderabad | Coimbatore

About company:

ValueMomentum is a leading solutions provider for the global Property & Casualty (P&C) insurance industry, supported by deep domain and technology capabilities.

We offer a comprehensive suite of services including advisory, development, implementation, and maintenance across the insurance value chaincovering underwriting, claims, distribution, and more. Trusted by over 75 insurers, ValueMomentum is one of the largest insurance-focused solutions providers serving the US insurance market.

Job Summary:

We are looking for skilled Databricks QA Professionals with strong expertise in Data Testing, Databricks, SQL, PySpark, and Data Validation. The ideal candidate will be responsible for validating large-scale data processing pipelines, ensuring data quality across cloud-based data platforms, and testing end-to-end data engineering solutions built on Databricks.

Key Responsibilities:

• Perform testing of Databricks-based data pipelines and data transformation processes.
• Validate data ingestion, transformation, aggregation, and loading workflows.
• Develop and execute test plans, test cases, and test scenarios for data applications.
• Perform source-to-target data validation and reconciliation.
• Write and execute complex SQL queries for backend data validation.
• Validate PySpark transformations and business rules.
• Ensure data quality, completeness, consistency, and accuracy across multiple systems.
• Perform functional, integration, regression, and data quality testing.
• Analyze requirements, data models, and ETL/ELT workflows.
• Identify, report, and track defects through closure.
• Collaborate closely with Data Engineers, Architects, Product Owners, and Business Teams.
• Participate in Agile ceremonies and quality assurance activities.

Required Skills:

• 4-9 years of experience in Data Testing / ETL Testing / QA.
• Hands-on experience testing Databricks-based applications.
• Strong expertise in SQL and database testing.
• Experience with Data Warehouse and Data Lake concepts.
• Good understanding of PySpark and Spark transformations.
• Strong knowledge of data validation and reconciliation techniques.
• Experience in source-to-target testing.
• Familiarity with Agile/Scrum methodologies.
• Experience with defect management tools such as Jira or Azure DevOps.

Preferred Skills:

• Experience with Azure Databricks.
• Exposure to Delta Lake, Unity Catalog, and Lakehouse Architecture.
• Experience with Azure Data Factory (ADF), Snowflake, Synapse, or AWS data services.
• Knowledge of ETL/ELT testing methodologies.
• Experience in test automation using Python or PySpark.
• Insurance domain experience is an added advantage.

Why Join ValueMomentum

• Opportunity to work on cutting-edge cloud and data transformation programs.
• Exposure to Databricks Lakehouse and modern data engineering technologies.
• Continuous learning and certification opportunities.
• Collaborative, inclusive, and innovation-driven culture.
• Work with leading global insurance customers.