Position: Middle Big Data Engineer
Company: Українська Кадрова Група
Category: Other
Experience required: 3y
English level: fluent

Contract types:
Full-time
Contractual agreement:
Employee or self-employed
Workplace location:
Prague, Hybrid mode

What you will be doing
Of course, contributing to various designs and implementations of big data solutions based on Hadoop or the platforms of leading cloud service providers (Amazon AWS or Microsoft Azure)
Analyzing customer requirements
Defining architectures and infrastructures
Handling data migrations and transformations and using ETL tools
Working with data each and every day, from data acquisition, transformation and storage to data streaming, analytics and visualization
Exploring and testing a variety of new tools and technologies
What we are looking for
A university degree in a technical field (or in another field along with relevant experience)
Knowledge of software engineering basics
Programming experience in Java, Python or another language
Familiarity with the workings of relational and non-relational databases as well as data modelling
A willingness to learn new technologies
A team player – but with the ability to complete tasks independently
English
Several things that are not necessities but are advantages: knowledge of Spark, Hive and Impala Hadoop technologies and experience with big-data Hadoop distributions (Hortonworks and Cloudera) or cloud services like AWS or Azure
What we are offering
Employment at a leading software company with both domestic and international projects
Work on a wide variety of projects, primarily in banking and finance
Work with open and capable colleagues
Access to professional training in development and software engineering, where you’ll gain new professional certificates
A chance to study foreign languages at a prestigious language school
Room for your innovations and ideas
An individual approach to each employee and a clear-cut career growth process
Attractive bonuses based on the company’s performance