T a k e a W a l k o n t h e D i g i t a l B u s i n e s s
Looking for non ordinary lifework and challenging projects.
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We are always looking for innovative and talented professionals to join our team.
See opportunities below, send us your resume and we will contact you.
The big data scientist is said to be the sexiest job in the 21st century. We are looking for professionals with statistical, mathematical, predictive modelling as well as business strategy skills to build the algorithms necessary to ask the right questions and find the right answers. They also need to be able to communicate their findings, orally and visually. Also need to understand how the products are developed and even more important, as big data touches the privacy of consumers, they need to have a set of ethical responsibilities.
Big data engineers develop, maintain, test and evaluate big data solutions within organizations. A big data engineer should have sufficient experience in software engineering, object-oriented design, coding and testing patterns as well as experience in engineering (commercial or open source) software platforms and large-scale data infrastructures should be present. Big data engineers should also have the capability to architect highly scalable distributed systems, using different open source tools.
Dev Ops Solutions Architects are trained to describe the structure and behavior of an agile operational environment and how that big data solution can be delivered to provide tangible results. Fluency in administering SQL and NoSQL technologies, Experience with automation/configuration management, ability to use a wide variety of open source technologies, it operations and cloud services. Comfort with collaboration, incremental deployment, open communication and reaching across functional borders.