Source description
About the role
We are looking for a hands-on Data Platform Engineer to support the DCEE Data & Insights Platform, a cloud-based data platform enabling secure, high-quality, near real-time reporting, analytics and data product delivery. The role requires experience across Kafka ingestion, Snowflake data engineering, dbt transformations, Data Vault 2.0 modelling, Kubernetes/EKS deployments, GitOps, CI/CD, monitoring and production troubleshooting . The engineer will support both the Kafka repository for ingestion and connector operations, and the Snowflake repository for data product development, dbt models, masking, grants, streams, tasks and data quality support. DIP follows Data Mesh, Event Driven Architecture and Data Vault 2.0 principles with a core stack including Confluent Kafka, Kafka Connectors, EKS, Snowflake, Python, GitHub Actions and ArgoCD . Must have skills: AWS, GitHub, Confluent Kafka Cloud, Kafka ingestion, Snowflake data engineering, dbt transformations, Data Vault 2.0 modelling, Kubernetes/EKS deployments, CI/CD .
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