Description

You will build and maintain ClickHouse-based solutions for large-scale data analytics and reporting.

This role is on-site.

Responsibilities

• Design efficient database schemas, tables, and partitioning strategies for high-performance queries.
• Write and optimize complex SQL queries for fast data retrieval and analytical workloads.
• Build and manage data ingestion pipelines using Kafka, Spark, or ETL frameworks.
• Monitor and troubleshoot ClickHouse performance issues, including slow queries and data inconsistencies.
• Support deployment, scaling, and maintenance of ClickHouse clusters.

Required Skills

• 8+ years of experience in data engineering.
• Expertise in ClickHouse SQL query development and optimization.
• Strong background in OLAP data modeling and columnar database design.
• Proficiency in database schema design, partitioning, and performance tuning.
• Hands-on experience with data ingestion tools like Kafka, Spark, and ETL frameworks.
• Ability to perform performance monitoring and troubleshooting.
• Focus on data quality, validation, and integrity.

Preferred Skills

• Bachelor's degree in a relevant technical field.

Key Skills

Education

Bachelor's degree