
Senior Business Intelligence Specialist
1 week ago
Our organization seeks an experienced and innovative Data Engineer to design and develop large-scale, event-driven data pipelines using modern data infrastructure.
Key Responsibilities:- Develop and maintain complex data workflows to support agronomic insights modeling
- Build robust data pipelines, services, and APIs to facilitate research, analysis, and product innovation across various business functions
- Collaborate with cloud engineers, data stewards, software developers, data scientists, and domain experts to build scalable cloud-based solutions using modern cloud-native and open-source technologies
Requirements include:
- Strong proficiency in programming languages such as Python
- Experience with Kubernetes for deploying and managing containerized applications and workflows
- Hands-on experience working with distributed data processing systems like Kafka, AWS SQS, and Google Cloud Pub/Sub
- Knowledge of geospatial data integration using GIS, Geospatial Data Abstraction Library, and SpatioTemporal Asset Catalog (STAC)
- Understanding of cloud platforms, databases, and storage systems such as AWS, GCP, PostgreSQL/PostGIS, BigQuery, and AWS S3
Benefits include a flexible work environment, opportunities for career development, access to professional development tools and training, and a comprehensive benefits package.
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