Senior Data Engineer

Responsibilities

• Build data and analytics platforms at scale, including data stores/warehouses and RAG pipelines for AI systems
• Work with AI Engineers to design, implement, and test innovative ideas for advanced AI reasoning
• Visualize data with dashboarding & analytics solutions and mentor other engineers on best practices
• Improve quality assurance and data ingestion by introducing new tools and frameworks
• Collaborate with AI Engineers, Product Managers, and Software Teams to integrate AI features into products

Requirements

• University degree in Computer Science, Software Engineering, Data Science/Engineering or related disciplines
• 4+ years of experience in agile development projects
• Experience with data engineering for ML/AI production deployment/MLOps using cloud platforms (Azure, AWS, or GCP)
• Experience designing architectures for data platforms and processing pipelines (batch and real-time streaming)
• Proficiency with PySpark, Kafka, and data warehousing services like AWS Redshift or Snowflake
• Experience with LLM data stores, SQL/no-SQL tools, and data management processes
• Expertise in advanced RAG pipelines (e.g., GraphRAG), agents/MCP, and multi-agent architectures
• Knowledge of ML model training, LLM fine-tuning, RLHF, and LLM-as-a-judge metrics
• Excellent verbal and written communication skills in English