Etl data testing/ data quality engineer

About the company: Tredence is a global data science solutions provider founded in 2013 by Shub Bhowmick, Sumit Mehra, and Shashank Dubey focused on solving the last-mile problem in AI. Headquartered in San Jose, California, with offices in San Jose, Foster City, Chicago, London, and Toronto, the company embraces a vertical-first approach and an outcome-driven mindset to help clients accelerate value realization with the largest companies in retail, CPG, hi-tech, telecom, healthcare, travel, and industrials as our clients. Job Description- Role requires experience in leading and delivering data & analytics projects covering technology delivery, managing delivery risks and issues, controlling costs, improving ROI and driving value creation. Roles & Responsibilities Experience- 5 to 8 years immediate Joiners preferred Job Location- Bengaluru, Pune, Chennai, Gurugram, Kolkata Skills- Data Pipeline Testing, SQL, Python, Azure Databricks Set up and manage unique and isolated test environments for each testing cycle. Collaborate with Dev Ops and infrastructure teams to ensure the availability and consistency of test environments. Implement and maintain environment configurations in alignment with Snowflake testing principles. Manage and manipulate test data in Snowflake data warehouses to support various testing scenarios. Collaborate with data engineering and data science teams to ensure the availability of realistic and diverse datasets for testing. Implement strategies for efficient data extraction, transformation, and loading (ETL) processes for testing purposes. Design and execute test cases to validate the functionality and performance of applications using Snowflake data. Ensure that tests are independent, isolated, and reflect real-world usage scenarios. Collaborate with business analysts and development teams to understand requirements and user stories. Develop and maintain automated test scripts for Snowflake testing, incorporating data verification and validation. Integrate automated scripts into the continuous integration/continuous deployment (CI/CD) pipeline. Collaborate with the Test Automation Engineer to enhance and optimize automated testing processes. Identify, document, and track defects, ensuring timely communication with development teams. Generate comprehensive test reports highlighting test results, coverage, and any issues found during testing. Work with the development team to prioritize and facilitate the resolution of identified defects. Collaborate with cross-functional teams, including developers, data engineers, business analysts, and other testers. Communicate effectively with team members, stakeholders, and management to provide updates on testing progress and any potential risks. Stay informed about Azure platform updates and new features relevant to testing. Continuously evaluate and improve testing processes, incorporating industry best practices. Contribute to the overall quality assurance strategy and methodology. Qualifications: Bachelor's degree in Computer Science, Information Technology, or a related field. Proven experience in software testing with a focus on data-centric testing and Snowflake data platforms. Strong SQL skills and familiarity with Azure data warehousing concepts. Familiarity with Azure Advanced concepts and complete data flow in all layers of Snowflake Cloud. Experience with testing tools and frameworks, and proficiency in scripting languages for automation. Knowledge of data validation, ETL processes, and data integrity testing.