We are seeking a skilled Senior Data Engineer with deep expertise in ClickHouse and streaming data, and a passion for building scalable real-time analytics solutions. In this role, you will design, develop, and optimize our data pipelines and analytics infrastructure, empowering our teams to harness real-time insights that enhance customer experience and drive business growth.
Key Responsibilities
● Design, implement, maintain and document highly scalable data pipelines for real-time and batch processing.
● Build and optimize data systems to support accurate, low-latency analytics and reporting use cases.
● Develop and maintain solutions for streaming and serverless data processing.
● Collaborate with cross-functional teams to implement and support end-to-end analytics workflows.
● Ensure data quality, reliability, and performance across the platform.
● Monitor, troubleshoot, and optimize data infrastructure to maintain high availability.
● Mentor junior engineers and contribute to the continuous improvement of engineering practices.
● Strong problem-solving skills and the ability to thrive in a fast-paced environment.
● Excellent communication and teamwork skills.
Python: Building data pipelines, automation scripts, and integrations.
Go: Developing high-performance data services or tools.
TypeScript: Contributing to data-related front-end or service-side applications.
Bash/Shell scripting: Writing automation scripts for data operations.
Rust (Good to have): Interest or experience in building memory-safe, high-performance systems.