Post-Secondary Degree (or Diploma) related to Computer Science, MIS or IT-related field. BA/BS in unrelated field will also be considered depending on experience 5-8 years in Data Engineering 3+ years of application design and development experience in a cloud environment 2+ years of experience building and deploying containerized applications in a Kubernetes enabled environment 2+ years of experience coding REST services and APIs using one or more of the following: Python, C#, Node.js, Java Google Cloud CertifiedProfessional Data Engineer Google Cloud Certified Cloud DevOps Engineer (Optional) Python (pandas, numpy, pyspark) SQL (MS SQL, OracleDB, Terradata) Google Cloud Platform CI/CD tools Google Vertex AI Big Data (Spark, pig, hive, scoop, kafka etc.) Agile/Scrum Rest Services and API Management: Implementing API proxies through gateways using Apigee X and/or Apigee Edge, API design, development, and testing including creating SWAGGER/Open API specs