Position: Python Engineer (Big Data retraining)
Company: SoftServe
Experience required: 2y
English level: intermediate

Global cross-domain Big Data & AI practice at any business, the largest Big Data & AI Center of Excellence in Eastern Europe. Together with the SEI, Carnegie Mellon University, we adapted ADD and ATAM architecture design methodologies to Big Data needs and invented Smart Decisions game, to promote architecture design best practices in AI and Big Data domains.

**YOU ARE**
A skilled Python Engineer who is ready to switch your career direction to Big Data stack and pass an intensive 2-month practical retraining at SoftServe! During the whole retraining program, you will have a mentor and learn through a combination of theoretical and practical assignments. After the program, you will know general Big Data concepts, get hands-on experience with Google Cloud Platform, Apache Spark and Datalab/Jupyter notebooks, and be ready working on real projects!

An expert with the following experience
— Excellent understanding of distributed computing technologies, approaches, and patterns
— At least 2 years working with Python and proficiency with backend development
— Hands-on expertise writing efficient SQL
— A concept of good programming practices along with unit and integration testing
— Understanding of basic concepts of relational database design, normalization, and de-normalization
— The cores of Git and GitHub
— Familiarity with Agile/Scrum process
— Graphical data representation using Pandas, Numpy, and SciPy is a plus point
— Theoretical knowledge of BigData/DS/ML as an advantage
— Self-motivated, Goal-oriented, well-organized, detail-oriented, and a strong team player attitude
— At least intermediate English (written and spoken)

**YOU WANT TO WORK WITH**
— Creating sustainable Big Data and AI solutions
— Evaluating cutting-edge Big Data technologies, implement PoCs and MVPs
— Learning modern technologies and obtaining certifications.
— Learning how to design architectures using proven methodologies by SEI, Carnegie Mellon
— Becoming a top expert, or a certified Architect
— Gaining deep expertise in one of the clouds or multiple clouds

**TOGETHER WE WILL**
— Deliver discovery and run consulting projects, such as solution design, technology assessment, and architecture evaluation together with CoE Lead Architects
— Implement full-scale high-performance Data Platforms and decision-support systems
— Utilize rapid prototyping techniques to accelerate the implementation of new technical solutions
— Adopt cutting-edge technologies on a challenging project
— Provide high-value services to different range of companies: from startups to Fortune 100
— Engage new clients and work closely with the Sales team
— Work shoulder to shoulder with Google Architects and Engineers
— Take part in research projects and help cloud providers to implement and test their new services

**OUR BENEFITS**
— Assimilate best practices from experts, working in the team of top-notch Architects
— Work closely or be a part of Google or Amazon professional services
— Being a part of Center of Excellence, you will have a chance to address different business and technology challenges, drive multiple projects and initiatives
— Boost your communication and leadership skills by obtaining experience on different projects
— Attend and speak at international events
— Have flexible working hours and locations