Tasks
Senior Data Platform Engineer( Kafka, AWS, Debezium,Terraform)
Location:Eindhoven, Netherlands (Onsite)
12months+
Key Responsibilities
Pipeline Development: Take ownership of the CDC ingestion framework utilizing Kafka connectors (Debezium, Iceberg sink, S3 sink).
Containerized Infrastructure Management: Deploy and manage Debezium and Kafka Connect workers using Docker containers orchestrating on AWS ECS (Elastic Container Service) and ECR.
Data Lake Integration: Manage data ingestion into AWS S3, utilizing Parquet and Apache Iceberg formats.
Infrastructure as Code: Use Terraform to provision and manage AWS resources supporting the data platform.
CI/CD: Build and maintain deployment pipelines using GitHub and GitHub Actions.
Operational Excellence: Monitor pipeline health, troubleshoot connectivity issues, and ensure the reliability of the Kafka ecosystem.
Optional: Support and optimize workflow orchestration using Airflow where applicable.
Requirements
Skills Required:
Apache Kafka & Kafka Connect: Multiple years of hands-on experience configuring, deploying, and managing Kafka Connect clusters in a production environment.
Containerization: Extensive experience with Docker is required. You must be comfortable building images and managing container lifecycles.
AWS Compute: Proven experience running containers on AWS ECS and managing images via AWS ECR.
Tech Stack Summary
Streaming: Apache Kafka, Kafka Connect, Debezium
Compute/Containerization: AWS ECS, AWS ECR, Docker
Storage/Format: AWS S3, Apache Iceberg, Parquet
DevOps: Terraform, GitHub Actions
Languages: Python, Bash
Optional Orchestration: Apache Airflow