Openings

Senior JAVA developer
Status: open

We are looking for a passionate and experienced software developer who enjoys solving challenging problems and is excited about distributed computing, semantic tecnologies, databases and helping us building world-class semantic big data products.

Responsibilities:

- Java developer responsibilities, including designing and developing high-volume, big data software
- Contribute in all phases of the development lifecycle
- Write well designed, testable, efficient code
- Ensure designs are in compliance with provided specifications
- Support continuous improvement by investigating alternatives and technologies and presenting these for architectural review

Skills/Requirements:

- Java development (Eclipse, Maven, Tomcat, JBoss/Wildly, git, svn)
- Spring Framework
- Hadoop ecosystem (HBase, YARN, Hive, Zookeper)
- Relational Databases and SQL
- Experience in developing REST services
- Experience with semantic technologies (RDF, OWL and the W3C semantic technologies stack)

Apache Spark & Scala knowledge is a plus

Junior JAVA developer
Status: open

We are looking for a software developer who enjoys programming in a challenging environment using best-of-breed technologies and development frameworks.

Responsibilities:

- Contribute in all phases of the development lifecycle
- Write well designed, testable, efficient code
- Ensure designs are in compliance with provided specifications

Skills/Requirements:

- Java development (Eclipse, Maven, Tomcat, JBoss/Wildly, git, svn)
- Spring Framework
- Relational Databases and SQL
- Bootstrap and AngularJS experience

Knowledge of the Hadoop ecosystem (HBase, YARN, Hive, Zookeper) and semantic technologies is a plus

Data scientist / analyst
Status: open

Responsibilities:

- Mapping end-user concepts onto data source schemas
- Transferring knowledge to programmers about data meaning
- Designing and prototyping machine learning algorithms on customer's data
- Collecting results about machine learning tests and reporting
- Analysing state-of-the-art academic and industrial research about machine learning

Skills/Requirements:

- Knowledge about supervised and unsupervised machine learning tools and techniques
- Solid mathematical / statiscal background in machine learning field
- Solid knowledge about statistical packages
- Knowledge about data management tools

Python and/or R programming skills are a plus