30 mars 2022 à 23h00 Informatique & Télécoms Rabat 81 vues
Détails de l'annonce
Poste :
Job description :
Mohammed VI Polytechnic University (UM6P) is hiring a data engineer within the Center for Remote Sensing Applications (CRSA).
The Data Engineer will be responsible of defining, building, and maintaining the data pipelines that will enable faster, better, data-informed decision-making within the project. The candidate is expected to have experience with ETL tools, API development & Data warehouses, including the analysis of data (satellite imagery and time series...), the transformation of the data into models which are usable by end users or user-facing systems, and their integration to allow for data-led decision making. He should also have strong technical abilities to understand, design, write and debug complex code.
Key duties :
The main tasks of the successful candidate are:
- Implementing a data lake using adequate technologies (Hadoop ecosystem)
- Big data and data pre-processing and analysis
- Constitution of the dataset from remote sensing data
- Monitoring and update of the database
- Participation in the conception and development of WebGIS platform
- Participation in the conception and development of the Geodatabase
Profil recherché :
Criteria of the candidate :
The candidate should have an engineering or master’s degree in data science or related fields. With 2+ years of experience in data engineering.
Skills :
The appointee candidate will be expected to demonstrate :
- Experience with ETL pipelines and processes to ingest data from, different data sources
- Experience working with Hadoop and related processing frameworks such as Spark, Hive, etc.
- Good skills in programming languages (Python, R, Matlab)
- Experience with source code version control tools (Git, Github,..)
- Experience building RESTful API’s to enable data consumption
- Experience with practices like continuous development continuous integration and Automated Testing
- Experience with containerization and orchestration tools (Docker, Kubernetes) is a plus
- Background in Remote-Sensing is desirable
- Knowledge in statistics, data science libraries
- Autonomy and quick learning ability
- Excellent organizational skills
- Communications skills and team spirit
