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Tiger Analytics is seeking a Quality Engineer - Data with a strong background in ETL testing, SQL, and data validation. You will collaborate with data scientists, engineers, and other testers to ensure data quality across ETL processes.
Working across data integration efforts, you will implement testing strategies, validate data accuracy, and contribute to automation of data tests within a dynamic analytics environment.
Join us. Tiger Analytics is a global AI and analytics consulting firm. With data and technology at the core of our solutions, our 4000+ tribe is solving problems that eventually impact the lives of millions globally. Our culture is modeled around expertise and respect with a team first mindset. Headquartered in Silicon Valley, youll find our delivery centers across the globe and offices in multiple cities across India, the US, UK, Canada, and Singapore, including a substantial remote global workforce. Were Great Place to Work-Certified. Working at Tiger Analytics, youll be at the heart of an AI revolution. Youll work with teams that push the boundaries of what is possible and build solutions that energize and inspire.
As a Quality Engineer - Data, you will be involved in every phase of SDLC and focus on Functional testability, Automation and Performance of the software. More specifically, you will work on: Selecting and integrating Data tools and frameworks required to provide requested capabilities. Technical guidance for software engineers engaged in the design, coding, reviewing, and testing of enterprise software Collaborate with Data Scientists, Data Engineers, and Software Engineers to understand data and models to develop QA tests to validate. Implementing ETL testing process.
Work Location: Bangalore, Chennai, Hyderabad