As part of a development team, collaborate with other team members to understand requirements, analyze and refine stories, design solutions, implement them, test them and support them in production
Job Summary
As part of a development team, collaborate with other team members to understand requirements, analyze and refine stories, design solutions, implement them, test them and support them in production.
Develop and deploy, within a team, big data anti-fraud detection solutions and models using Python and PySpark; ability/willingness to learn how to improve them with machine learning algorithms and models.
We strongly believe in collaboration, inclusion and feeling connected to open up new perspectives and strengthen our self-confidence and wellbeing.
Matching Summary
As part of a development team, collaborate with other team members to understand requirements, analyze and refine stories, design solutions, implement them, test them and support them in production.
Skills & Requirements
Must-have
Python and PySpark development
Hadoop ecosystem: Spark, HDFS, Hive
Develop and deploy big data solutions
Test driven development
Server-side code development
Unix/Linux environments
Git version control
Nice-to-have
Problem-solving skills
Team collaboration
Time management
Continuous learning culture
Business focus and analytical approach
Key Requirements
Bachelor’s degree in Computer Science or IT-related discipline (or equivalent)
Experience with Hadoop ecosystem
Experience with Python and PySpark
Experience with ML frameworks (Pandas, Numpy, Scikit-learn)
Experience with Databases (SQL, Oracle, Hive, Impala)