Description
Syngenta is hiring an experienced Data Engineer to support large-scale data transformation projects by designing, building, deploying, and optimizing data pipelines and platforms using Databricks and AWS. The role involves end-to-end enterprise data solution implementation, collaboration with architects and client stakeholders, and ensuring performance, scalability, security, governance, quality, and compliance. Candidates need at least seven years of data engineering experience, including four years of hands-on Databricks pipeline development, along with strong SQL, Python, PySpark, CI/CD, infrastructure-as-code, data modeling, and lakehouse architecture skills.
