Farmtech

Data Engineer

• Work on the development, maintenance and evolution of scalable, reliable data solutions
• Design, develop and maintain efficient, scalable and reliable data pipelines
• Automate extraction, transformation and load (ETL/ELT) routines in cloud environments
• Implement solutions for integrating data from multiple sources, including structured and unstructured data
• Develop and maintain data APIs and services for consumption by internal and external applications
• Ensure data quality, governance, security and integrity at all stages of the data flow
• Work on relational and non-relational data modeling to support analytical and operational use cases
• Document architectures, pipelines, processes and data models clearly, consistently and in a reusable manner
• Collaborate with Data Science, Software Engineering teams and business stakeholders
• Support continuous improvement of data processes, performance and cloud cost optimization

Mid-Level Data Engineer – Solutions Development