Databricks Tester, Contract

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Databricks Tester, Contract based in India.

This role is ideal for a data testing professional who enjoys ensuring accuracy, reliability, and performance across modern data platforms.
You will validate complex data pipelines, Databricks Delta tables, and transformation processes to support high-quality data delivery.
The position requires strong technical expertise in SQL, data validation, and ETL testing within an Agile environment.
You will collaborate closely with engineering teams and stakeholders to identify issues, improve data quality, and maintain trusted data solutions.
This opportunity offers hands-on exposure to cloud-based data technologies and enterprise-scale analytics environments.
The successful candidate will play a key role in strengthening data integrity and enabling informed business decisions through reliable data assets.

The role focuses on validating data solutions, ensuring pipeline accuracy, and supporting continuous improvements across data testing processes. Key responsibilities include:

• Validate data within Databricks Delta tables across Bronze, Silver, and Gold data layers.
• Perform source-to-target reconciliation and verify data completeness, consistency, and accuracy.
• Test data transformations, business rules, aggregation logic, and pipeline workflows.
• Execute advanced SQL queries to validate datasets, schemas, data types, null values, duplicate records, and key constraints.
• Perform regression, integration, and end-to-end testing for data pipelines and data processing workflows.
• Create, maintain, and execute test cases and scenarios based on business requirements.
• Track, document, and manage defects using JIRA while collaborating with engineering teams on resolutions.
• Participate in Agile ceremonies, including sprint planning, stand-ups, and retrospectives.
• Prepare test execution reports and communicate testing progress, findings, and risks to stakeholders.
• Support data quality initiatives through validation frameworks and continuous improvement practices.

Requirements:

The ideal candidate brings strong experience in data testing, Databricks environments, and quality assurance practices, along with excellent analytical and communication skills. Required qualifications include:

• 3–5 years of experience in Data Testing, ETL Testing, or Data Validation roles.
• Hands-on experience with Databricks and Delta Lake validation.
• Strong SQL skills for data validation, reconciliation, and troubleshooting.
• Experience testing ETL/ELT pipelines and validating complex data transformations.
• Knowledge of Spark SQL and Databricks notebooks.
• Experience using JIRA for defect tracking and test management.
• Understanding of data warehousing concepts, relational databases, and data quality principles.
• Experience working within Agile/Scrum delivery environments.
• Strong problem-solving, analytical thinking, and stakeholder communication skills.
• Preferred experience with PySpark, Python, Azure Databricks, Azure DevOps, Git, data quality frameworks, or test automation tools.

Benefits:

• Contract opportunity with a fully remote working environment in India.
• Opportunity to work on modern cloud data platforms and enterprise-scale data solutions.
• Exposure to Databricks, Delta Lake, Spark technologies, and advanced data engineering practices.
• Collaborative Agile environment with opportunities to work alongside experienced technical teams.
• Professional growth through hands-on experience with impactful data projects.
• Competitive compensation package aligned with experience and skills.