Data SW engineer - Anankei

Brussel
2019-10-25
2019-12-07

Your Responsibilities:

As Data SW engineer, you will be responsible for:

• Participate to the definition of the needs and writing of the User Stories
• Collaborate with Data Scientist to the development of the Advanced Analytics modules
• Participate to the Data Architecture and modelling on an Hadoop platform
• Develop modules related to the Data ingestion, Data modelling and Data aggregation
• Ensure quality of the development using Continuous Integration framework
 

Vereisten

Your skills:

You have a proven experience of at least 2-3 years as a Data SW Engineer. This experience covers a.o. following technical skills:

• Strong hands-on experience in SW development on an Hadoop environment
• Strong knowledge of Hadoop ecosystem: Hortonworks (Hadoop, Spark, Nifi, Oozie…)
• Good knowledge of specific Advanced Analytics framework and libraries: PySpark, H2O, Python Mlib
• Strong knowledge of Scala and Python
• Strong knowledge of Continuous Integration and Deployment framework: Gitlab, Jenkins, Ansible…
• Knowledge of Data Visualisation framework like QlikSense is a plus

Your Profile:

• You have a proven experience of at least 2-3 years as a Data SW Engineer
• You’re quality oriented
• You’re open minded team player, ready to adapt to the changing needs
• You’re committed to deliver, pragmatic and solution oriented.
• Languages : English (very good in reading, writing, speaking) is a must