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Data Engineer (Remote, Based In Indonesia)
Company | Revalue Nature |
Address | Indonesia |
Employment type | FULL_TIME |
Salary | |
Category | Jasa Terkait Lingkungan |
Expires | 2023-08-24 |
Posted at | 9 months ago |
Revalue Nature: Revalue Nature's mission is to make ecosystems function, at scale. We do this by developing the highest integrity nature-based projects globally, with our team of carbon experts, advanced climate tech and data intelligence platform.
- Our team has exceptional track-record of designing and delivering the world's highest impact carbon projects.
- We offer unrivalled opportunities for our talent. We want this to be a place which allows you to do the best work of your life, while also focusing on balance outside of work.
- We have built long-term partnerships and are working in iconic landscapes with leading players in the nature conservation and restoration space.
- Design and implement automatic data extraction and transformation from various public data portals.
- Participate in project planning, execution, and reporting, including the preparation of technical reports, and presentations.
- Monitor and troubleshoot data pipeline issues and implement necessary optimizations and enhancements.
- Design and implement fast and efficient algorithms on data retrieval and summarization.
- Ensure the scalability, reliability, and security of data infrastructure and processes.
- Develop and optimize algorithms for data retrieval, summarization, and analysis to meet performance requirements.
- Collaborate with data scientists, analysts, engineers, and other stakeholders to understand data needs and provide appropriate solutions.
- Design and implement queuing systems based on available resources to manage and prioritize tasks effectively.
- Design and implement data storing architecture to support optimal data delivery.
- Develop and maintain documentation of code, methods, and results for transparency and reproducibility.
- Provide training and support to other team members on data management best practices and stay up to date with industry trends and emerging technologies in data engineering to continuously improve our data infrastructure and processes.
- Create and maintain data pipeline architecture to support efficient data processing and analysis.
- Experience on building cron pipelines or using workflow management platforms such as Apache Airflow.
- Experience on utilizing queue managers such as Apache Kafka or RabbitMQ is a plus.
- Knowledge of writing unit tests is a plus.
- Strong knowledge of Cloud Storage systems such as Amazon S3 or Google Cloud Storage.
- Knowledge of containerization technologies like Docker or Kubernetes.
- Proficiency in utilizing Git for version control and collaborative development.
- Experience on spatial data transformation is a plus.
- Ability to write clean, easily maintained, and efficient code.
- Familiarity with Agile development methodologies and working in an Agile environment.
- Experience working with multi-temporal remote sensing data.
- Familiarity with remote sensing data products and archives.
- Familiarity with machine learning concepts and algorithms.
- Familiarity with land cover change challenges and environmental issues.
- Knowledge of GIS software such as ArcGIS, QGIS, or Google Earth Engine.
- Understanding of data visualization tools and techniques for effective data presentation.
- Experience in working with large datasets and distributed computing.
- Unbeatable work flexibility and balance (global team, remote working)
- An agile team, with unrivalled experience and track-record
- Shared purpose, culture, and values
- A truly diverse team of colleagues, partners, and clients
- Competitive salary and benefits package
- On-the-ground work in the most iconic nature landscapes of our planet
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