Job Description

Responsibilities: Develop Comprehensive Test Strategies: Create and implement test plans covering E2E testing, including data source validation, API testing, data pipeline automation, user plane, backend services, GUI, and web application testing. Automate Test Workflows: Design and maintain automated test scripts for data pipelines, leveraging tools like Databricks for DQM (Data Quality Management) and ensuring data accuracy and quality from ingestion through to analysis layers. Collaborate Across Teams: Work closely with Product Owner, Data Engineers, AI Application Engineers, and DevOps teams to understand requirements, identify test scenarios, and troubleshoot issues efficiently. Data and API Validation: Conduct in-depth testing of data workflows, ETL/ELT jobs, and API integrations, verifying data integrity, transformation accuracy, and adherence to security protocols. Continuous Integration & Deployment (CI/CD): Implement and maintain CI/CD pipelines to automate testing, security scanning, and deployment for data and application workflows. Test Backend Services and SQL Workflows: Execute SQL and Python-based tests to validate database operations, backend services, and data plane consistency. Perform web application and GUI testing, ensuring alignment with CASM platform requirements. Drive Quality Assurance Standards: Lead initiatives to establish testing best practices, promote data accuracy, and enhance system reliability through rigorous, continuous testing. Monitor and Report Quality Metrics: Establish KPIs for testing effectiveness, create detailed reports on testing outcomes, and participate in defect analysis to improve testing processes. Minimum Qualifications: Education: Bachelor's degree in Computer Science, Information Systems, or a related field, or equivalent professional experience. Experience: 5+ years in a quality assurance role with a focus on data and application testing, including hands-on experience in data pipeline testing, API, and backend service validation. Automation Tools: Proven experience of Databricks and test automation frameworks (e.g., Selenium, Postman) and data quality tools (Databricks DQM or similar). Programming Languages: Proficiency in SQL and Python for writing automated tests and conducting data validation. Cloud Knowledge: Familiarity with AWS services (e.g., S3, EC2, Lambda) and experience with CI/CD tools like Jenkins, GitLab, or AWS CodePipeline. Security Testing: Knowledge of SCAS, SAST, DAST/WAS, and experience within secure SDLC frameworks. Agile Methodologies: Strong understanding of Agile practices and experience in Agile/Scrum environments. Compensation:The pay rate range above is the base hourly pay range that Aditi Consulting reasonably expects to pay someone for this position (compensation may vary outside of this range depending on several factors, including but not limited to, a candidate's qualifications, skills, competencies, experience, location and end client requirements). Benefits and Ancillaries:Medical, dental, vision, PTO benefits and ancillaries may be available for eligible Aditi Consulting employees and vary based on the plan options selected by the employee.Aditi Consulting LLC uses AI technology to engage candidates during the sourcing process. AI technology is used to gather data only and does not replace human-based decision making in employment decisions. #AditiConsulting Aditi Consulting

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