This internship covers the full data pipelines dimensions.
Data analytics:
Define how to turn raw data into the most meaningful and relevant insights by eliminating the noise (we are more interested by core technologies than by specialized libraries brought in as transitive dependencies)
Analyze the possibility to have an approach that could allow to identify the emerging technologies in projects without having to explicitly search for them
Explore if machine learning techniques could be added to improve the analysis
Data engineering:
Develop the data crawlers/miners that will extract raw information from repositories
Ensure that the data extraction will not affect the performances of the underlying production systems and complies with ELCA’s data protection policies
Define the pipelines that are needed to convey and process data from a raw form to final insights
Data visualization:
Extend the existing data visualization platform and contribute to ELCA State of Engineering initiative in a decisive way
What we offer
Join our team as intern and you will find a young, dynamic and culturally diverse working environment.
About your profile
Good knowledge in Python
Some interests in data analytics and data processing
Some knowledge in web development
If you are INTERESTED in applying for this position, please send us your complete application (CV, cover letter, letter of reference, diplomas and certificates). Apply
