PatSnap, established in 2007, is the global leader in AI-powered IP and R&D intelligence solutions. Their domain-specific LLM and AI assistant Hiro help increase IP task productivity by 75% and reduce R&D wastage by 25%. Trusted by over 15,000 companies including NASA, Tesla, PayPal, and Sanofi.
The Senior Big Data Test Development Engineer role focuses on ensuring the quality and reliability of PatSnap's data platforms. The position requires expertise in big data testing and automation, working with technologies like Hadoop and Spark. The ideal candidate will be responsible for developing testing frameworks, validating data quality, and improving testing processes.
Key technical requirements include proficiency in Python/Java, SQL, and experience with test automation tools. Knowledge of big data platforms (Hadoop, Spark, Hive, HBase) and cloud platforms (AWS/Azure/GCP) is preferred. The role offers opportunities to work with cutting-edge technologies in a collaborative environment focused on innovation.
The position is based in Singapore and requires 2+ years of software testing experience. This is an excellent opportunity for someone passionate about data quality, automation testing, and big data platform development, offering significant professional growth potential in a company at the forefront of AI and R&D intelligence.