Job Description

SQL Expertise: Write complex SQL queries to verify data correctness and perform thorough back-end testing of databases. Python: Good Working experience in scripting languages Test Planning & Execution: Create detailed test plans, test cases, and test reports. Perform both functional and non-functional testing. Defect Tracking: Identify, log, and track defects in collaboration with development teams to ensure timely resolution. Collaboration: Work closely with developers, data engineers, and product owners to understand requirements and improve overall product quality. Continuous Improvement: Stay updated with the latest testing tools, methodologies, and best practices to enhance the automation testing framework. Required qualifications to be successful in this role: Experience: 4+ years of experience in automation testing with a focus on ETL, data warehousing, or big data environments. Technical Skills: Strong proficiency in SQL for complex queries and database testing. Hands-on experience with ETL tools (e.g., Informatica, Talend, etc.). Familiarity with DevOps practices and tools such as Jenkins, Git, Docker, etc. Analytical Skills: Strong analytical and problem-solving skills, with attention to detail in identifying issues and ensuring data accuracy. Good to have: Experience with cloud platforms like AWS, Azure, or Google Cloud. Knowledge of big data technologies such as Hadoop, Spark, or similar. Experience with CI/CD pipelines and integrating automated tests. Communication: Excellent verbal and written communication skills to work effectively within a team and with stakeholders. Education: Bachelor s degree in Computer Science, Information Technology, or a related field. Relevant certifications are a plus. Skills: ETL Python SQL .