Senior Consultant - Data Engineer

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

Develop and implement data ingestion pipeline Develop and implement data validation process Developing and maintaining datasets Improving data quality and efficiency Analyzing raw data Create solutions and design documentation Work on projects independently as well as being part of a large team Crosstrain Junior Data Engineers or other team members with your area of expertise Further develop skills both on the job and through formal learning channels Assist in pre-sales activities by providing accurate work estimate Interacts closely with Project Management to deliver projects that are done on time and on budget