Data Engineer (Remote, Based In Indonesia) At Revalue Nature

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.

We are building on strong foundations to deliver at scale and with the highest integrity:

• We have built long-term partnerships and are working in iconic landscapes with leading players in the nature conservation and restoration space.
• 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.

What are we looking for?

We are not just another company in this space, we want to be the leaders, and we are rapidly scaling up our team to achieve it. We are looking for the most mission-driven, talented people to grow and scale our impact. If you have a ‘bias towards action’ and you are driven by our same values and mission, we want to know you.

Delivering natural solutions at scale requires diverse thinkers truly committed to revaluing nature through transparent, equitable partnerships and systems change. We seek a truly diverse range of applicants from around the world by career stage, background, and approach.

The ideal candidate will have expertise in data management, database architectures and workflow management platforms. As a Data Engineer, you will play a crucial role in designing and implementing data pipeline architecture, automating data extraction and transformation processes, and ensuring efficient data delivery. Your expertise in cloud storage, workflow management platforms, and coding practices will contribute to the success of our data-driven initiatives.

This position will be remote and requires excellent communication skills, technical knowledge, and a passion for the environment.

Tasks

What are the main responsibilities of the role?

• Collaborate with data scientists, analysts, engineers, and other stakeholders to understand data needs and provide appropriate solutions.
• 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.
• Ensure the scalability, reliability, and security of data infrastructure and processes.
• Develop and maintain documentation of code, methods, and results for transparency and reproducibility.
• Design and implement fast and efficient algorithms on data retrieval and summarization.
• 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 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 optimize algorithms for data retrieval, summarization, and analysis to meet performance requirements.
• Design and implement automatic data extraction and transformation from various public data portals.
• Create and maintain data pipeline architecture to support efficient data processing and analysis.

Requirements

What do we expect from you?

Requirements:

• Experience on spatial data transformation is a plus.
• Familiarity with Agile development methodologies and working in an Agile environment.
• Strong knowledge of Cloud Storage systems such as Amazon S3 or Google Cloud Storage.
• Knowledge of writing unit tests is a plus.
• Experience on utilizing queue managers such as Apache Kafka or RabbitMQ is a plus.
• Knowledge of containerization technologies like Docker or Kubernetes.
• Proficiency in utilizing Git for version control and collaborative development.
• Ability to write clean, easily maintained, and efficient code.
• Experience on building cron pipelines or using workflow management platforms such as Apache Airflow.

Nice to have:

• Familiarity with land cover change challenges and environmental issues.
• Knowledge of GIS software such as ArcGIS, QGIS, or Google Earth Engine.
• Experience working with multi-temporal remote sensing data.
• Familiarity with machine learning concepts and algorithms.
• Experience in working with large datasets and distributed computing.
• Familiarity with remote sensing data products and archives.
• Understanding of data visualization tools and techniques for effective data presentation.

Benefits

What do we offer?

• Competitive salary and benefits package
• Unbeatable work flexibility and balance (global team, remote working)
• On-the-ground work in the most iconic nature landscapes of our planet
• A truly diverse team of colleagues, partners, and clients
• An agile team, with unrivalled experience and track-record
• Shared purpose, culture, and values

If you are passionate about working with data, enjoy solving complex problems, and have the required skills and experience, we would love to hear from you. Join our team and contribute to building robust data solutions that drive our organization's success.

Note: This job description is intended to convey essential responsibilities and requirements and is not an exhaustive list of tasks. Other duties may be assigned as deemed necessary by the company.