
Design, build, deploy, and support cloud-based and open-source solutions that ingest and process satellite data. 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 Kafka, AWS SQS, and 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. Leverage Kubernetes (K8s) for deploying and managing containerized applications and workflows. Collaborate with data engineers and SREs 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. Integrate company and industry standards and best practices for data security and regulatory requirements to stay compliant with established policies.