Job
Description
We are looking for a skilled Data Engineer with strong hands-on experience in Clickhouse, Kubernetes, SQL, Python, and FastAPI, along with a good understanding of PostgreSQL. The ideal candidate will be responsible for building and maintaining efficient data pipelines, optimizing query performance, and developing APIs to support scalable data services. - Design, build, and maintain scalable and efficient data pipelines and ETL processes. - Develop and optimize Clickhouse databases for high-performance analytics. - Create RESTful APIs using FastAPI to expose data services. - Work with Kubernetes for container orchestration and deployment of data services. - Write complex SQL queries to extract, transform, and analyze data from PostgreSQL and Clickhouse. - Collaborate with data scientists, analysts, and backend teams to support data needs and ensure data quality. - Monitor, troubleshoot, and improve performance of data infrastructure. - Strong experience in Clickhouse - data modeling, query optimization, performance tuning. - Expertise in SQL - including complex joins, window functions, and optimization. - Proficient in Python, especially for data processing (Pandas, NumPy) and scripting. - Experience with FastAPI for creating lightweight APIs and microservices. - Hands-on experience with PostgreSQL - schema design, indexing, and performance. - Solid knowledge of Kubernetes managing containers, deployments, and scaling. - Understanding of software engineering best practices (CI/CD, version control, testing). - Experience with cloud platforms like AWS, GCP, or Azure. - Knowledge of data warehousing and distributed data systems. - Familiarity with Docker, Helm, and monitoring tools like Prometheus/Grafana.
