CTERA is looking for a Senior Data Engineer to build and operate a multi-tenant analytics platform on AWS + Kubernetes (EKS), delivering streaming and batch pipelines via GitOps as a Platform-as-a-Service (PaaS).

Responsibilities:

• Ingestion pipelines: Build and operate Flink / Spark streaming and batch jobs ingesting from Kafka, S3, APIs, and RDBMS into OpenSearch and other data stores.
• Platform delivery: Provide reusable, multi-tenant pipelines as a self-service PaaS.
• Workflow orchestration: Manage pipeline runs using Argo Workflows.
• GitOps delivery: Deploy and operate pipelines via ArgoCD across environments.
• IaC & AWS: Provision infrastructure with Terraform and secure access using IAM / IRSA.
• Reliability: Own monitoring, stability, and troubleshooting of production pipelines.
• Collaboration: Work with product, analytics, and infra on schemas and data contracts.

Requirements:

• Software skills: Senior-level, hands-on data engineering experience building and operating production systems with ownership of reliability and scale.
• Processing: Strong experience with Flink and Spark (streaming + batch).
• Data sources & sinks: Experience integrating with Kafka, S3, REST APIs, and RDBMS, and publishing to OpenSearch / Elasticsearch, data warehouses, or NoSQL databases.
• Big Data: Familiarity with big-data systems; Iceberg / PyIceberg a plus.
• Cloud & DevOps: Hands-on experience with EKS, RBAC, ArgoCD, and Terraform for infrastructure and delivery workflows.
• Datastores: Hands-on experience with OpenSearch / Elasticsearch including indexing strategies, templates/mappings, and operational troubleshooting.
• AI tools: Experience with AI-assisted development tools. (e.g., CursorAI, GitHub Copilot, or similar).