Databricks Tester, Contract

Accountabilities: 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.