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Job Summary 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. Key Responsibilities 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. Required Skills 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). Good To Have 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. Skills: data modeling,sql,clickhouse,fastapi,indexing,python,etl processes,version control,query optimization,data processing,ci/cd,testing,performance tuning,postgresql,schema design,restful apis,postgress,kubernetes Show more Show less
