Education: Bachelor’s degree in computer science, Information Systems or related field.

Job Experience & Skills Required:

• 2+ years’ experience working in Big data environment, optimising and building big data
  

• pipelines, architectures and data sets with e.g. Java, Scala, Python, Hadoop, Apache
  

• Spark and Kafka
  

• Familiarity with Hadoop ecosystem and its components
  

• Good knowledge of the concepts of Hadoop
  

• Solid experience in a working environment in Big Data development utilising SQL or
  

• Python
  

• Experience in Big Data development using Spark
  

• Experience in Hadoop, HDFS and MapReduce
  

• Experience in database design, development and data modelling
  

The following additional knowledge, skills and attributes are preferred:

• Good knowledge in back-end programming, specifically java
  

• Experience with development in a Linux environment and its basic commands
  

• Ability to write reliable, manageable, and high-performance code
  

• Should have basic knowledge of SQL, database structures, principles, and theories
  

• Knowledge of workflow/schedulers
  

• Strong collaboration and communication skills
  

• Strong analytical and problem-solving skills
  

• Support pipelines end to end
  

• Build enhancements and new developments
  

• Build and deploy new data pipelines
  

• Identify optimisation opportunities
  

• Improvement on recovery time in case of prod failures
  

• Test prototypes and oversee handover to the Data Operations teams
  

• Attend and contribute to regular team and User meetings
  

• Responsible for the actual coding or programming of Hadoop applications
  

• High-speed querying