ETL Data Testing/ Data Quality Assurance Engineer- Databricks

As a data & analytics project lead at Tredence, your role will involve managing and delivering projects, controlling costs, improving ROI, and driving value creation. You should have 5 to 8 years of experience and be proficient in Data Pipeline Testing, SQL queries, Python, and Azure Databricks. Immediate Joiners are preferred for this position, and the job location options include Bengaluru, Pune, Chennai, Gurugram, and Kolkata. Key Responsibilities: - Set up and manage unique and isolated test environments for each testing cycle. - Collaborate with DevOps 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. - 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. As a data & analytics project lead at Tredence, your role will involve managing and delivering projects, controlling costs, improving ROI, and driving value creation. You should have 5 to 8 years of experience and be proficient in Data Pipeline Testing, SQL queries, Python, and Azure Databricks. Immediate Joiners are preferred for this position, and the job location options include Bengaluru, Pune, Chennai, Gurugram, and Kolkata. Key Responsibilities: - Set up and manage unique and isolated test environments for each testing cycle. - Collaborate with DevOps 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. - 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 de