Quercus Technologies is a consolidated company in the parking sector with installations worldwide, being a world reference in license plate recognition, vehicle detection and parking guidance systems.
We are looking for a data engineer with skills on data science, big data, and server APIs. His/Her main work will be focused on contributing to set up and maintain an infrastructure for data gathering, storage, classification, and analysis. The data will be mainly composed of images and other related metadata. The candidate is expected to work closely with our machine learning experts under the scope of the ongoing projects in Quercus in order to increase the development efficiency.
About The Role
What will you do?
Design, install and set up efficient architectures as well as maintain them on service.
Contribute on creating data collection protocols by means of using APIs or other tools that can effectively transfer and store remote data.
Create routines for automatically classifying the incoming data based on its related metadata or other criteria of interest. Maintain and ensure the consistency of the stored data.
Supervise and manage the outsourcing of the labeling process of the collected data, dealing with third-party companies.
Create scripts for analyzing data to extract conclusive results that will guide the development of the projects.
Work with our machine learning experts on training models. Provide tools and expertise on data preparation to ease and improve the process of training machine learning models.
What profile are we looking for?
Bachelor's/Master's/PhD in STEM (Mathematics, Computer Science, Physics, Engineering).
Proficiency skills in Python scripting.
Extensive knowledge of data storage methodologies and technologies.
Exposure to web services and APIs for data collection-processing.
Pro-efficient in Linux-based systems. Virtualization and containers are a plus.
Experience with public cloud systems (e.g. GCP, AWS).
Have basic concepts/skills in computer vision.
Some exposure to ML platforms.
Statistics and analytical skills.
Awareness of data quality aspects in data warehousing systems.
Knowledge on legal policies (EU and Spain) related to data collection, storage and manipulation.
What skills do we value?
Curiosity and inquisitiveness. Remains up to date with the latest trends in data engineering.
To go far we go together, team-oriented.
Innovative and proactive attitude.
Analytical and solution-oriented.
Proactive attitude and cross-functional communication skills.