Job
Description
You are a seasoned Software Test Analyst with a strong background in ETL Testing, Data Warehousing, SQL, Unix, and Python scripting. Your role will involve validating large-scale data systems, automating testing frameworks, and ensuring the accuracy of data movement across environments. Key Responsibilities - Perform ETL and data validation testing across multiple databases and platforms. - Write, review, and execute complex SQL queries to validate data transformations and migrations. - Conduct backend and web automation using open-source tools such as Playwright, Pytest, Selenium, Rest Assured, Requests, Numpy, and Pandas. - Execute API testing to ensure seamless integration and data consistency. - Validate data flow and integrity in Data Warehouse environments (Oracle, Snowflake). - Utilize Unix scripting for automation and data extraction processes. - Work within cloud environments (AWS, Azure, or Snowflake) for validation and testing activities. - Collaborate with development and QA teams to ensure end-to-end data quality. - Implement and maintain test automation pipelines using CI/CD tools (e.g., Jenkins). Preferred Skills - Experience in Finance/Investment domain. - Exposure to Java or JavaScript for automation scripting. - Familiarity with modern testing frameworks and automation best practices. Key Attributes - Strong analytical and problem-solving ability. - Excellent communication and documentation skills. - Ability to work independently and manage priorities effectively. Must Have Skills - ETL Testing: Minimum 4 years of hands-on experience - Data Warehouse Concepts: Strong practical understanding - SQL: Ability to write and optimize complex queries - Unix: Command-line and scripting knowledge - Python: Minimum 1 year of hands-on experience You are a seasoned Software Test Analyst with a strong background in ETL Testing, Data Warehousing, SQL, Unix, and Python scripting. Your role will involve validating large-scale data systems, automating testing frameworks, and ensuring the accuracy of data movement across environments. Key Responsibilities - Perform ETL and data validation testing across multiple databases and platforms. - Write, review, and execute complex SQL queries to validate data transformations and migrations. - Conduct backend and web automation using open-source tools such as Playwright, Pytest, Selenium, Rest Assured, Requests, Numpy, and Pandas. - Execute API testing to ensure seamless integration and data consistency. - Validate data flow and integrity in Data Warehouse environments (Oracle, Snowflake). - Utilize Unix scripting for automation and data extraction processes. - Work within cloud environments (AWS, Azure, or Snowflake) for validation and testing activities. - Collaborate with development and QA teams to ensure end-to-end data quality. - Implement and maintain test automation pipelines using CI/CD tools (e.g., Jenkins). Preferred Skills - Experience in Finance/Investment domain. - Exposure to Java or JavaScript for automation scripting. - Familiarity with modern testing frameworks and automation best practices. Key Attributes - Strong analytical and problem-solving ability. - Excellent communication and documentation skills. - Ability to work independently and manage priorities effectively. Must Have Skills - ETL Testing: Minimum 4 years of hands-on experience - Data Warehouse Concepts: Strong practical understanding - SQL: Ability to write and optimize complex queries - Unix: Command-line and scripting knowledge - Python: Minimum 1 year of hands-on experience
