Data engineer

We are seeking a highly motivated and experienced Data Engineer with strong expertise in data architecture, data engineering and a focus in working with geospatial data. This role will work closely with a multidisciplinary team to build high quality data pipelines driving analytic solutions. These solutions will generate insights from the organization's connected data, enabling the organization to advance the data-driven decision-making capabilities of the organization's enterprise.

• Design, build, deploy and support cloud-based and open-source solutions that ingest and process geospatial data (e.g. weather, locations, satellite) to support Bunge’s commercial intelligence initiatives
• Implement scalable data pipelines for ingestion, transformation, and delivery of structured and unstructured geospatial data.
• Build highly scalable APIs for accessing geospatial data and initiating geospatial processing and analysis.
• Develop event-driven data processing solutions using Google Cloud Pub/Sub to orchestrate multi-stage spatial workflows.
• Integrate and manage data flows across cloud platforms such as AWS and GCP, databases such as PostgreSQL/PostGIS and BigQuery, and cloud storage such as AWS S3 and Google Cloud Storage
• Collaborate with data engineers and product owners to optimize and monitor data pipelines and services for performance, reliability, scalability, and cost-effectiveness.
• Provide technical support, including incident response, troubleshooting and resolution for production issues in data pipelines and API services.

• Bachelor's degree in Computer Science, Geography, Engineering, or relevant job experience
• Skilled in Python, SQL, PostgreSQL/PostGIS, including schema design and query optimization.
• Hands-on experience with large, complex geospatial data sets (vector or raster) and geospatial processing
• Solid understanding of geospatial data concepts. Experience with programmatic data processing and analysis using geospatial libraries and tools.
• Experience with cloud compute services (GCP preferred) such as GCP BigQuery, EarthEngine Pub/Sub, Cloud Run, GCS
• Experience with code versioning and dependency management systems such as Azure Dev Ops (ADO) or GitHub
• Self-motivated with excellent problem-solving skills; ability to work effectively in a fast-paced, collaborative environment.
• Strong communication skills and the ability to articulate technical concepts to non-technical stakeholders.
• Demonstrated strong number sense, intellectually curious and willing to adjust position based on additional information
• Strong work ethic; ability to work across diverse geographical time zones
• Будет плюсом: Hands-on experience with event-driven and streaming data architectures using Cloud platform and services such as Google Cloud Pub/Sub; Highly proficient in Python with a strong track record of building and maintaining production data pipelines and backend systems; Familiarity with CI/CD practices and tools such as Terraform, ADO pipelines, or GitHub Actions; Experience with integrating geospatial compute platforms like ArcGIS and Google Earth Engine into enterprise workflows; Experience with building RESTful APIs using industry-standard frameworks; Experience in Agri-business, sustainability or related industry

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