
High-Performance Data Systems Engineer
3 days ago
We are seeking a skilled Data Engineer with strong hands-on experience in ClickHouse, Kubernetes, SQL, and Python. You will be responsible for building and maintaining efficient data pipelines, optimizing query performance, and developing APIs to support scalable data services.
Roles & Responsibilities:
- Design, build, and maintain scalable and efficient data pipelines and ETL processes.
- Develop and optimize ClickHouse databases for high-performance analytics, including data modeling, query optimization, and performance tuning.
- 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 the performance of data infrastructure.
Skills Required:
- 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 is a plus.
- Knowledge of data warehousing and distributed data systems is a plus.
- Familiarity with Docker, Helm, and monitoring tools like Prometheus/Grafana is a plus.
QUALIFICATION:
- Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent practical experience.
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