Senior Data Platform Engineer optimizing large-scale ClickHouse databases for data engineering solutions in a consulting firm. Focus on OLAP systems supporting analytics and AI-driven workloads.
Responsibilities
Architect and optimize large-scale ClickHouse or OLAP databases
Design distributed data systems capable of handling multi-terabyte datasets
Define best practices for analytical data models and query performance
Ensure high availability, scalability, and reliability of data systems
Tune analytical queries for maximum performance and efficiency
Optimize storage structures, indexing strategies, and partitioning
Improve query latency for real-time analytics workloads
Monitor and address performance bottlenecks in distributed data systems
Integrate ClickHouse with analytics platforms, dashboards, and AI pipelines
Design efficient data ingestion and transformation pipelines
Mentor engineers on distributed data system design and performance optimization
Guide teams in building scalable analytics infrastructure
Requirements
Bachelor’s or Master’s Degree in Computer Science, Data Science, Engineering, or related field, or equivalent practical experience.
5–10 years of experience building and operating data engineering or analytics platforms
Strong experience working with OLAP databases or analytical data systems
Experience designing distributed data systems handling multi-terabyte datasets
Proven experience optimizing high-performance analytical queries and data pipelines
Experience mentoring engineers and guiding data architecture decisions
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