Data & Analytics QA Tester

Role Overview: As a Data & Analytics QA Tester, your role will involve developing and executing test plans, test cases, and test scripts for data and analytics solutions. You will be responsible for performing functional, integration, and regression testing to ensure the quality and integrity of data pipelines and analytics applications. Collaboration with data engineers, data scientists, and other stakeholders is essential to understand requirements and ensure comprehensive test coverage. Key Responsibilities: - Utilizing Snowflake for data warehousing testing and validation. - Implementing and testing data visualization solutions using Streamlit. - Conducting testing of data workflows and orchestration using AWS Airflow. - Validating data integration and transformation processes using StreamSets and AWS Glue. - Writing and executing SQL queries to validate data accuracy and consistency. - Identifying, documenting, and tracking defects and issues, and working with the development team to resolve them. - Continuously improving testing processes and methodologies to enhance the quality of data and analytics solutions. Qualifications Required: - Experience in QA Testing in Snowflake, Streamlit, AWS Airflow, StreamSets, AWS Glue, and SQL. - Experience range for this position is 4 to 10 years. Role Overview: As a Data & Analytics QA Tester, your role will involve developing and executing test plans, test cases, and test scripts for data and analytics solutions. You will be responsible for performing functional, integration, and regression testing to ensure the quality and integrity of data pipelines and analytics applications. Collaboration with data engineers, data scientists, and other stakeholders is essential to understand requirements and ensure comprehensive test coverage. Key Responsibilities: - Utilizing Snowflake for data warehousing testing and validation. - Implementing and testing data visualization solutions using Streamlit. - Conducting testing of data workflows and orchestration using AWS Airflow. - Validating data integration and transformation processes using StreamSets and AWS Glue. - Writing and executing SQL queries to validate data accuracy and consistency. - Identifying, documenting, and tracking defects and issues, and working with the development team to resolve them. - Continuously improving testing processes and methodologies to enhance the quality of data and analytics solutions. Qualifications Required: - Experience in QA Testing in Snowflake, Streamlit, AWS Airflow, StreamSets, AWS Glue, and SQL. - Experience range for this position is 4 to 10 years.