· Minimum of three years of professional experience with Python
· Professional experience in the field of data (e.g., data science, data engineering, data warehousing)
· Experience with one or more of Spark, Flink, Argo, Hadoop, Airflow, Prefect or Nifi
· Knowledge of SQL, ideally MS SQL Server
· Experience with testing frameworks
· Experience with Openshift, Kubernetes or Docker is beneficial
· Ops/Infrastructure experience and Linux knowledge are a plus