Data Platform Engineer - OLAP
Adyen
9 days ago
Amsterdam, Netherlands
Mid Level / Senior
H1B Sponsor
Responsibilities
- Develop and maintain high-performance OLAP systems for multi-tenant query workloads.
- Ensure high availability for business-critical analytical products through observability.
- Build self-service tooling for Data Engineers and Analysts to manage data assets.
- Engineer automated frameworks to validate data integrity and enhance data discoverability.
- Architect seamless integrations of the OLAP ecosystem with adjacent distributed systems.
- Monitor and optimize cluster resource-efficiency while adhering to security standards.
Requirements
- Fluency in Python and/or Java; Golang or Rust is a plus.
- Strong communication skills and ability to work with diverse stakeholders.
- Experience in OLAP technologies like Druid, Clickhouse, or Pinot.
- Familiarity with CI/CD pipelines for code and infrastructure automation.
- Experience with Kubernetes and large-scale private cloud systems.
- Knowledge of distributed data and compute systems like Spark and Trino.
- Experience in data modeling and real-time/batch data pipelines.
Tech Stack
Apache KafkaApache SparkClickHouseGoJavaKubernetesPythonRust
Categories
AI & MLBackendData Engineering