If you want to compete with technology, by definition you can’t buy that technology. At Kramp hub, with a team of great professionals we are continuously seeking simple solutions for very complex challenges in the e-commerce world, within an industry that is becoming more important day by day - agriculture.
At the moment we are busy building a multi tenant microservice platform and working on a data hub that will steer the decisions and directions of the immense business we are in, having 3 million euros in revenue going through the system daily. We just released an object recognition app and are very proud of it!
Some projects we have worked on in the Data Team (or currently in progress):
- Creating a data lake / realtime data platform in GCP
- Productionizing machine learning
- Measuring everything
- Realtime analytics on streaming events
- Improving search relevance
- Automatic black box hyperparameter optimization
- Automated A/B(C/D/E/F/G...) testing framework
We are at the moment looking for an experienced Data Engineer to strengthen our team and grow with us!
What keeps a Data Engineer at Kramp Hub busy day to day:
Skillset you’d be bringing to the table:
N.B: Skills/stack in italic are optional - not a prerequisite:
Java - a prerequisite, you must be very comfortable with Java as you will be using it every day
Google Cloud Platform - a really big plus!
Data processing frameworks such as Beam, Flink, Spark
Stream processing: Cloud Pubsub, Kafka
Big Data engineering
Software engineering / design
Machine Learning - this would be a plus
Some front end skills - and another plus :)
What we can offer: