Data Engineer
Core
Design, build, and maintain scalable, reliable cloud-based data systems that transform raw agricultural data into trusted, analysis-ready datasets for AI and analytics.
Role type
Senior Data Engineer (Cloud & Data Warehousing)
Builds
Cloud data infrastructure, ingestion pipelines, and AI-ready data foundations for agriculture products.
Domain
AgTech / Digital Agriculture
Deliverable
production ML models
Required skills
SQL, Python, Cloud platforms (GCP, AWS), Data Warehousing (BigQuery, Redshift, Snowflake), Postgres, dbt, Workflow orchestration (Prefect, Dagster), Data modeling, Pipeline optimization.
Preferred skills
Docker, Kubernetes, IoT time-series data processing, LLM-based agent integration.
Technologies
GCP (BigQuery, Cloud SQL, Cloud Run), AWS, Snowflake, Redshift, Postgres, BigQuery, dbt, Prefect, Dagster, Python, Node, Docker, Kubernetes.
Responsibilities
Architect cloud-based systems for data interfaces; design and maintain scalable data processing and storage infrastructure; build models to transform raw measurements into analysis-ready datasets; create data tools for analytics and data science teams; optimize pipeline performance and cost; build ingestion pipelines from third-party APIs; document data structures and Data APIs.
Seniority
Mid-Senior (3–5 years experience)
