Geospatial Data Engineer
Pangkalan Kerinci
Grow your career with us
You are on a journey to join an exciting Company and be part of our success story to improve lives by developing resources sustainably. Here we offer you an exciting and dynamic work environment and will equip you with the know-how that will stretch and enhance your career journey.
Role Summary:
• Compilation & integration of model scripts, geospatial applications and database management systems (Ex. AWS, Microsoft Azure, Cloudera/Hortonwork data platform)• Good understanding of IT Infra/Enterprise Architecture, Configuration, deployment strategy
• Expert in Computer vision and programming (R, Python, JavaScript, PHP, HTML, VB)
Responsibilities:
EDUCATION:
- Preferably, Masters in Computer Science, Geoinformation Science or closely related discipline with 2 years of work experience OR Bachelor with minimum 4 years of experience.
EXPERIENCE:
- Experience in big data management with demonstrated skills in processing, automation, compilation/integration and deployment in the processing/production server.
- Knowledge about the storage and production server configurations and architecture for efficient deployment of the machine learning algorithms/models
- Working experience in data warehouse projects, analytics platforms, system analysis & design
- Knowledge about remote sensing, GIS technologies, software & tools and development of datasets & documentation of Earth science data
- Proficiency with interpreted data languages for Earth science data using either Python, MATLAB, R, IDL, JavaScript etc.
- Experience with reading subsetting, interpreting and utilizing geospatially referenced and structured data for research and operational remote sensing applications
- Familiarity & experience in metadata standards & conventions with a command on scientific software tools such as R, NCO, HDF library, ArcGIS & Python.
- Experience in developing dashboards with interactive widgets/tools, experienced in WebGIS & Hadoop (cloudera/hortonwork) infrastructure & environment with insightful reporting solutions to quantify the model performance and its business impact.
- Experience with version control (Ex. GitHub) & agile development practices with proficiency working in UNIX/Linus command-line environment and shell scripting
- Competency in project development & deployment strategy
- Building cross-functional relationships to collaborate with the business stakeholders and collaborate with internal stakeholders/customers.
- Excellent communication, interpersonal and presentation skills. Able to relate technical information to all levels of the organization.
Requirements:
To be successful in this role, it is recommended that you should have the following skills and qualifications:
• A degree in the related job field.
• Those with 1 to 2 years of working exposure or experience in a similar role will have an advantage but not essential.
• Willing to relocate to the job location.
When you send us your resume and personal details, it is deemed you have provided your consent to us retaining your information in our talent recruitment database. All information provided will only be used for the recruitment process. RGE will only collect, use, process or disclose personal information where and when allowed to under applicable laws.
Only shortlisted candidates will be contacted for an interview. We endeavour to respond to every applicant. However, if you do not receive a response from us within 60 days, please consider your application for this position unsuccessful. We may contact you in the future for any opportunities that match your qualifications and experience.
Thank you for considering a career with RGE.
#LI-DNI #APRIL* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Architecture AWS Azure Big Data Computer Science Computer Vision Data management Data warehouse GitHub Hadoop JavaScript Machine Learning Matlab PHP Python R Research Shell scripting
Perks/benefits: Career development
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