WE LOOK FOR TALENTS

We recruit highly-talented professionals in order to build multicultural teams with a clear view of the real-world problems that businesses are facing nowadays. We promote an open and collaborative working environment complemented by innovation and proactivity.

Hiring Spark Analysts & Developers

If you have an analytical mindset and like challenges. If you are passionate about Big Data technologies and have experience in Spark, there is room for your professional development in KEEDIO.

 

Skills & Experience

We are currently growing and seek professionals with at least 2 years of experience in software development and 1 year with Spark in Java & Scala.

 

Must-haves:
· Expertise in Big Data projects
· Languages: Java & Scala
· Spark
· Version control and quality
· SQL and NoSQL databases
· Hibernate
· Spring
· Maven
Nice-to-haves:
· Other languages such as Python or JavaScript
· AngularJS and/or NodeJS
· Big Data: Flink, Storm, Flume, etc…
· Cloud: Amazon, Azure, Openstack, etc…
· Systems
· Agile methodologies

Hiring Java J2EE Analysts & Developers

If you have an analytical mindset and like challenges. If you are passionate about Big Data technologies and have experience in Java J2EE, there is room for your professional development in KEEDIO.

 

Skills & Experience

We are currently growing and seek professionals with at least 3 years of experience in software development in Java J2EE.

 

Must-haves:
· Professional experience in Java J2EE
· Version and quality control tools (Github, Jenkins, Sonar)
· Databases SQL and NoSQL
· SQL and NoSQL databases
· Hibernate
· Spring
· Maven
Nice-to-haves:
· Other languages such as Python or JavaScript
· AngularJS and/or NodeJS
· Big Data: Flink, Storm, Flume, Hadoop, etc…
· Cloud: Amazon, Azure, Openstack, etc…
· Systems
· Agile methodologies

 

Hiring Profile QA

You will be in charge of enforcing software quality throughout the company as well as help planning, building and maintaining the infrastructure needed for automatic and functional testing, focusing on BigData projects.

Skills & Experience

  • Work hand to hand with software engineers in an Agile environment from the very beginning of each project, in order to ensure developed software complies with quality standards.
  • Develop and run functional, regression and acceptance tests.
  • Keep automated tests updated as the software evolves.
  • Document software bugs.
  • Enforce technical documentation quality.

 

Must-haves:
· Experience in Unix/Linux environments.
· Knowledge of testing frameworks like JUnit, TestNG, Mockito.
· Experience in using and configuring CI tools like Jenkins and static software analysis tools like Sonar.
· Experience in developing tests in Java, Scala, Python.
· Experience testing ETL processes.
· Experience testing distributed systems.
· Be able to write complex SQL queries.
· Teamwork skills.
· Experience working in Agile teams.
Nice-to-haves:
· Fluency in spoken and written english.
· Experience with Big Data technologies.
· Experience in cloud environments.
· Bachelor/Master degree in computer science.

KEEDIO’s Internship Program 2016/17

Location: Ciudad de la Imagen (KEEDIO’s premises)

Number of positions: 8

Position type: Part Time

Duration: 6 months

Total Stipend: € 3600

 

KEEDIO is a company specialized in BigData backed by 10 years of previous experience in distributed computing: HPC, HTC, grid computing… Currently, our projects range from architecture deployment to analytics where we are hands-on with established technologies, tools and also with KEEDIO’s own platform that services a range of institutions.

KEEDIO offers on-the-job training in projects of BigData technologies and innovation where you will acquire competences in day-to-day work and challenges faced nowadays in the vibrant world of data and analytics. The traineeship program aims to become the stepping-stone in your future career in BigData and Analytics whether you decide to move on elsewhere or stay with us in the future.

Three profiles of technical candidates are sought eager to learn and develop their career in BigData and Analytics: system engineers, development engineers, and data engineers/scientists. System engineers and developers will focus on ongoing projects both learning and contributing based on their skills and knowledge. Data engineers/scientists will be provided with datasets from where insights or prototypes are expected. You are encouraged to apply whether you are the rock-star of your class or you have a ground in the required technical knowledge, a genuine motivation and attitude to learn and explore.

 

Profiles
Must- and Nice-to-haves
Tasks
System engineer 
Academic degree  in/related to Computer Science focused on systems and architecture
OS administration and distributed systems
Highly motivated, eager to learn and curious about new technologies
Integration, deployment and administration of BigData architectures. Scripting, monitoring, and security.
Development engineer
Academic degree in/related to Computer Science focused on development
Software development using Java, Python, or SQL.
Highly motivated, eager to learn and curious about new technologies
Software development in BigData environments. Learn new frameworks and languages. Basic analytics.
Data engineer/scientist
Academic degree: postgrad in engineering or sciences with analytical background and, at least, proficiency in one language.
Knowledge of data analysis, modeling, inferential and descriptive statistics, and supervised and non-supervised learning. Data analysis in a language such as Python, R, or MATLAB.
Communication skills. Motivated and eager to learn.
Nice-to-haves: MOOCs, courses out of official academic CVs, specialization courses, etc. Experience in projects (in Academia or not) analyzing data with mathematical/statistical tools.
Development of the full data-analysis cycle –collection, cleaning, exploratory analysis, modeling and outcome presentation—using BigData and BI technologies.

The selected candidates will be part of a young, dynamic team made up by professionals with diverse backgrounds closely connected to cutting-edge technologies. They will also enjoy a flexible schedule, competitive salary, and social benefits.

 

Contact us or send your CV to:

rrhh@keedio.com