Quality assurance engineer(etl-data engineering)

1 day ago


Bangalore, India Quantzig Full time

About Quantzig Quantzig is a global analytics and advisory firm with offices in the US, UK, Canada, China, and India. we have assisted our clients across the globe with end-to-end advanced analytics, visual storyboarding , Machine Learning and data engineering solutions implementation for prudent decision making. We are a rapidly growing organization that is built and operated by high-performance champions If you have what it takes to be the champion with business and functional skills to take ownership of an entire project end-to-end, help build a team with great work ethic and a drive to learn, you are the one we’re looking for. The clients love us for our solutioning capability, our enthusiasm and we expect you to be a part of our growth story Job Overview: We are seeking an experienced QA Engineer with expertise in test planning, scripting, and automation testing for data engineering workflows. The role involves designing test cases, ensuring data integrity, and validating ETL processes. You will collaborate with Data Engineers for end-to-end pipeline validation and ensure the seamless functionality of data pipelines. Key Responsibilities: Develop test plans, create automated test scripts, and design test cases to ensure data integrity and ETL process functionality. Collaborate with Data Engineers for end-to-end pipeline validation, ensuring data accuracy and consistency. Implement and maintain test automation frameworks using tools like Selenium, Test NG, and Jenkins. Perform data validation, troubleshoot issues, and work with cross-functional teams to resolve them. Requirements: Proven experience in test automation, scripting, and ETL testing. Strong understanding of data integrity and data pipelines. Proficiency in SQL, Python(preferably) or Java, and test automation tools. Experience with CI/CD and Agile methodologies. Excellent communication and collaboration skills. Preferred Qualifications: Familiarity with Big Data technologies (Hadoop, Spark). Experience with cloud platforms (AWS, Azure, GCP). Experience Level : 3 to 5 Years Minimum Notice Period: Immediate to 15 Days Location : Kadubeesanahalli, Bangalore Salary : Based on Company Standards Mode of work : Hybrid kindly reach out to



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