onsite
Staff AI Analytics Engineer
Data Engineer
Lead the design and implementation of scalable AI analytics pipelines using AWS, ClickHouse, Cube.js, and DBT, driving advanced dimensional modeling and data insights for enterprise customers.
About the role
Key Responsibilities
- Architect and maintain end‑to‑end analytics solutions on AWS, leveraging ClickHouse for high‑performance storage and Cube.js for real‑time BI dashboards.
- Develop and optimize DBT models to support robust dimensional modeling, ensuring data quality and consistency across the analytics stack.
- Collaborate with data scientists and product teams to translate business requirements into scalable data models and visualizations.
- Implement automated testing, monitoring, and performance tuning to guarantee reliability and low latency for end users.
- Mentor junior engineers, conduct code reviews, and promote best practices in data engineering and analytics.
Requirements
- 10+ years of experience in data engineering or analytics engineering roles.
- Deep expertise in AWS services (Redshift, S3, Glue, Athena) and ClickHouse deployment.
- Proficient with Cube.js, DBT, and advanced SQL for dimensional modeling.
- Strong understanding of data warehousing concepts, ETL pipelines, and performance optimization.
- Excellent communication skills and a proven track record of leading technical teams.