Data Engineer / Senior Data Engineer
ArcadiaFull Time
Senior (5 to 8 years)
Key technologies and capabilities for this role
Common questions about this position
Yes, the role is hiring remotely in any country where ClickHouse has a hiring presence.
This information is not specified in the job description.
Candidates need 5+ years of experience building high-scale data-intensive software, proficiency in Golang (preferred) or Java, expertise in distributed systems and microservices, strong ETL pipeline and CDC knowledge, cloud-native proficiency with at least one major CSP, and practical Kubernetes experience including debugging at scale.
The team emphasizes operating with significant autonomy, collaborating with talented engineers, engaging with customers and partners, thriving in dynamic high-velocity environments, and being outcome-driven, impact-driven, and excelling at creative problem-solving.
Strong candidates have 5+ years of high-scale data-intensive experience, Golang or Java proficiency, distributed systems expertise, ETL/CDC skills, cloud-native and Kubernetes hands-on knowledge, plus exceptional production debugging and problem-solving abilities.
High-speed column-oriented database management system
ClickHouse provides a high-speed, column-oriented database management system designed for developers and businesses that manage large-scale data. Its primary product processes analytical queries quickly by storing data from the same columns together, making it significantly faster than traditional row-oriented databases, especially in Online Analytical Processing (OLAP) scenarios. ClickHouse stands out from competitors by offering a free, open-source database that can be deployed on local machines or in the cloud, along with a fully managed service on platforms like AWS, GCP, and Microsoft Azure. The company's goal is to deliver a cost-effective solution that simplifies data management for its clients, as evidenced by user feedback highlighting substantial cost savings.