Design and implement scalable data pipelines, ETL/ELT processes, and integration frameworks for multiple data sources.
Develop and maintain data models (conceptual, logical, and physical) to support analytics use cases.
Partner with business teams in Swine and Poultry divisions to understand data requirements and translate them into robust technical solutions.
Ensure data quality, consistency, and governance across divisions.
Collaborate with
Data Analysts and
Data Scientists to provide reliable, well-structured datasets for dashboards, reports, and predictive models.
Monitor, optimize, and troubleshoot data workflows in production environments.
University degree and up.
English communication.
Cloud platforms (e.g., AWS, Azure, GCP) and storage solutions (S3, Data Lake, Data Warehouse).
Experience in data modeling (Kimball, Data Vault, Star/Snowflake schema).
Familiarity with BI tools (e.g., Qlik, Power BI, Tableau) and enabling reporting/analytics teams.
Prior experience in supporting manufacturing, agriculture, or livestock industries is a plus.
3+ years of hands-on experience in data engineering or similar roles.