Senior Data Engineer

• The product is a solution to safeguard applications from automated attacks. 
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• The engineer is expected to operate as a core member of a small, high-autonomy, proactive team focused on: 

• developing a deep understanding of a core products including legacy code and multiple services; 
• proactively finding problems, inefficiencies, risks, technical gaps and areas for improvement, implementing them; 
• negotiating with product engineering teams to get buy-in for changes implementation; 
• planning short-term wins and long-term improvement strategy. 

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• Responsibilities: 

• Maintain and enhance existing data processes, ensuring reliability, performance, and scalability; 
• Build a full understanding of existing tables, flows, and jobs - what the data is, where it's used, where it can be improved, where to build new ones; 
• Drive system reliability and performance improvements across all data workflows; 
• Own and execute data process modernization initiatives; 
• Collaborate cross-functionally to ensure architectural alignment and best-practice adoption. 

Must-Have Requirements: 

• 5+ years of overall experience in Data Engineering; 
• Expert-level SQL skills: being able to optimize complex queries for latency and performance; 
• Proficiency with DBT for data transformation and modeling; 
• Strong data engineering fundamentals and database knowledge (DDL/DML/SQL); 
• Hands-on experience with Snowflake and Elastic; 
• Deep experience building, scaling, and managing large-scale data pipelines; 
• Proven ability to work independently, take ownership, and drive initiatives to completion. 

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• Nice-to-Have: 

• Practical experience with Airflow for workflow orchestration.

Timezone: EU/Ukraine