ГлавнаяВакансииSENIOR PYTHON BACK END ENGINEER (BIG DATA RETRAINING)

SENIOR PYTHON BACK END ENGINEER (BIG DATA RETRAINING)

 
SoftServe, договорная   Закрыта

DIRECTION:SOFTWARE DEVELOPMENT

PERSONAL RECRUITER:TETIANA DERKACH

LOCATION:DNIPRO; ZAPORIZHIA; ODESA; KHERSON; MYKOLAIV; LVIV; RIVNE; I.FRANKIVSK; CHERNIVTSI; KYIV; KHARKIV; LUTSK; TERNOPIL; VINNYTSIA; KROPYVNYTSKYI; POLTAVA; CHERKASY; KHMELNYTSKYI; ZHYTOMYR; CHERNIHIV; SUМY

TECHNICAL LEVEL: SENIOR

WE ARE

Advisors, engineers, and designers solving business challenges with innovative technology solutions. Our expertise in Machine Learning, AI, Big Data, IoT, Cloud technologies are recognized by Google and Amazon. 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 the Smart Decisions game, to promote architecture design best practices in AI and Big Data domains.

Please read more at http://smartdecisionsgame.com/

YOU ARE

A skilled Python Engineer ready to switch your career direction to a 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, have hands-on experience with Google Cloud Platform, Apache Spark, and Datalab/Jupyter notebooks, and be ready to work on real projects!

An expert with

  • Excellent understanding of distributed computing technologies, approaches, and patterns
  • At least 4-year experience with Python and proficiency in 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 skill of Git and GitHub
  • Familiarity with Agile/Scrum process
  • Experience with 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, implementing 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 certified Architect
  • Gaining deep expertise in one 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 the 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
  • Flexible working hours and locations
     
Database
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