Data Engineer

Client: Syngenta Group - Global Squad

Data Pipeline Development: Assist in building and maintaining ETL/ELT pipelines for R&D datasets; support automation and troubleshooting. Technical Foundations: Basic understanding of SQL/NoSQL databases, data warehousing, and pipeline orchestration concepts Collaboration & Support: Work with breeders, data scientists, and IT stakeholders to clarify requirements; participate in code reviews and knowledge sharing. Programming & Tools: Python and SQL proficiency; exposure to ETL tools (Airflow, dbt) and frameworks (Spark, Pandas); Git basics. Cloud & Infrastructure: Familiarity with cloud data services (AWS, Azure, GCP); awareness of containerization (Docker) and CI/CD principles.