Java Programming, Python Programming, C++, C Programming, SQL, Apache Hadoop, Scala Programming, Machine learning techniques, Data science techniques, PyTorch, TensorFlow, MapReduce, R Programming
When you join us at Thermo Fisher Scientific, you’ll be part of a smart, driven team that shares a passion for data exploration and discovery. With revenues of more than $40 billion and the largest investment in R&D in the industry. Our Mission is to enable our customers to make the world healthier, cleaner, and safer. Whether our customers are accelerating life sciences research, solving complex analytical challenges, improving patient diagnostics and therapies, or increasing productivity in their laboratories, we are here to support them. We give our people the resources and opportunities to make significant contributions to the world.
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How will you make an impact?
Enabling our R&D teams at scaled, Staff Data Engineer will join our R&D AI Engineering team and will be responsible for working with data engineers and ML team to develop data management, data pipeline and data catalogues and responsible for providing complete data ops solutions. Staff Data Engineer must be able to collaboratively work in an Agile team to design, develop and maintain datalakes on Cloud-native technology stack. This position offers an exciting opportunity to work on processes that interface with multiple internal teams. The candidate will help contribute and propose a scalable design for development projects, pilots, and advanced best practices.
What will you do?
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Thermo Fisher Scientific is an American provisioner of scientific instrumentation, reagents and consumables, and software and services to healthcare, life science, and other laboratories in academia, government, and industry (including in the biotechnology and pharmaceutical sectors). Based in Waltham, Massachusetts, Thermo Fisher was created in 2006 by the merger of Thermo Electron and Fisher Scientific, to form a company with US$ 9 billion.