Data Engineer
SweedFull Time
Mid-level (3 to 4 years), Senior (5 to 8 years)
Candidates should possess a Bachelor's or Master's degree in Computer Science or a related field, with a minimum of 5 years of experience in Reliability Engineering, QA, or customer-facing engineering. Prior experience operating ClickHouse or other SQL databases in production is required, along with a strong understanding of distributed database internals and SQL, with ClickHouse experience being a significant advantage. Proficiency in scripting with Shell or Python, the ability to read C++ code, and knowledge of cloud platforms like AWS, Azure, or GCP are essential. Strong problem-solving abilities, production debugging skills, and excellent communication are also necessary.
The Database Reliability Engineer will be responsible for continuously improving the reliability and performance of ClickHouse core, and for creating and enhancing metrics and alerts to proactively identify and prevent production issues. They will investigate common customer-encountered problems to determine root causes, submit bug fixes, and suggest improvements. This role involves refining incident response processes and post-mortem analysis, planning and driving Chaos initiatives, and managing on-call processes to address performance and reliability issues. The engineer will also establish best practices for escalating and resolving issues to minimize customer impact.
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.