Position Details

Posted On March 22, 2021
Application Deadline April 22, 2021
Experience 1-2

Please read carefully the qualifications and responsibilities and include relevant skills in your CV; We prioritize candidates who are in Coimbra, Portugal or are willing to relocate.

 

Oreyeon is a startup company providing AI solutions for airports focusing on safety and automation of operations. Oreyeon's goal is to re-imagine airport safety by implementing proactive features, eliminating human error and reducing costs by using cutting-edge technologies.

 

We are looking for a full-time Data Engineer experienced in the Data Management and Analysis fields. You must be passionate about creating new technologies, ready to grasp knowledge fast and solve complex problems related to Data

 

Education: Bachelor’s in Computer Science/ Computer and Communication Engineering (similar technical field of study or equivalent practical experience)

 

Experience: 1-2 years 

 

Key Qualifications:

  • Solid knowledge and proven experience in Python
  • Hands-on experience with data science libraries (numpy, pandas, SciPy, SciKit-Learn, matplotlib, etc.)
  • Worked on implementing Data Management pipelines 
  • Proven knowledge and experience in data warehousing
  • Ability to conduct data strategy to optimize data flow
  • Experienced with data analysis 
  • Experience with implementing dashboards for data visualization and analysis
  • Solid knowledge of Data Structures
  • Hands-on experience with SQL/No-SQL database design
  • Experienced with one or more of the following tools and technologies: Amazon web services, Databricks, Spark, GCPGoogle Cloud, Alteryx, Azure, Amazon Redshift, hadoop HDFS, SAP HANA, Apache Spark...
  • Experienced with building and managing database systems
  • Intellectual curiosity to find new and unusual ways to solve data management and optimization issues

 

Prefered Qualifications:

  • Experienced with 3D modeling tools for image augmentation purposes
  • Knowledge in the Computer Vision and Machine Learning fields
  • Understanding Generative Adversarial Networks is a big plus
  • Experienced with image generation and augmentation techniques

 

Responsibilities:

The responsibilities expected from the person filling the role include but are not limited to:

 

  • Manage and organize Big data (collection, processing and labeling)
  • Work with a team of ML and Computer Vision engineers (provide and manage data requests)
  • Work on statistical data analytics to extract insights
  • Work on optimizing the data production, management and labeling pipeline
  • Build a robust database management system
  • Implement and manage a Data Warehousing system to retrieve, update, visualize and analyze data
  • Maintain a growing data management system
  • Build high-performance algorithms, predictive models, and prototypes
  • Develop set processes for data mining, data modeling, and data production
  • Identify ways to improve data reliability, efficiency and quality
  • Deploy sophisticated analytics programs, machine learning and statistical methods to find patterns in the data
  • Implement data visualization tools

 

Soft Skills Required:

  • Curiosity and consistency
  • Reading and reviewing documentation
  • Writing & communication in English easily
  • Document solutions and explanations clearly
  • Communicate with peers professionally

Apply now