OpenSC is a company focused on transforming global food systems to tackle the climate crisis by verifying low-carbon and sustainable food production at the source. The company uses advanced technologies such as AI, machine learning, IoT, and blockchain to analyze data from supply chains to verify claims like deforestation-free palm oil and fair payments to farmers. OpenSC works with large companies in key commodities to ensure responsible production, helping businesses meet ESG requirements, manage strategic risks, and enhance consumer trust by promoting transparency in supply chains.
blockchain • social impact • supply chain • transparency • traceability
February 11
OpenSC is a company focused on transforming global food systems to tackle the climate crisis by verifying low-carbon and sustainable food production at the source. The company uses advanced technologies such as AI, machine learning, IoT, and blockchain to analyze data from supply chains to verify claims like deforestation-free palm oil and fair payments to farmers. OpenSC works with large companies in key commodities to ensure responsible production, helping businesses meet ESG requirements, manage strategic risks, and enhance consumer trust by promoting transparency in supply chains.
blockchain • social impact • supply chain • transparency • traceability
• Transform global food systems to tackle climate crisis and protect the planet. • Build OpenSC’s data platform across all data domains: collection, storage, transformation, and analysis. • Develop high-quality data pipelines for structured, semi-structured, and unstructured data. • Assume responsibility for business interpretation of data and contribute to data science projects. • Provide support on data security and cloud infrastructure topics.
• 4+ years of relevant industry experience building production-level data products • Proven solid foundation of core data concepts (e.g. integration, modeling, security, lineage, governance etc.) • Excellent Python skills and advanced competencies with main data ecosystem libraries • Advanced knowledge of SQL and relational databases (e.g. PostgreSQL, dbt) • Knowledge of Cypher and graph databases (e.g. Neo4j, Kuzu, etc.) • Experience with data pipeline orchestration tools (e.g. Dagster, Airflow, etc.) • Experience working with cloud infrastructure and services (ideally on AWS) • Experience working with different data modeling patterns and ability to abstract complex real-life information into a standardized data model description • Demonstrated familiarity with Version control (Git), Containerization (Docker, Kubernetes), CI/CD (e.g. CircleCi, Github Actions), IaC (Terraform)
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