Senior Data Engineer

Most companies experiment with AI tools. At RandomTrees We build AI systems that run real enterprise operations. At RandomTrees, our teams design enterprise AI platforms and intelligent agents that automate complex decisions for large organizations. These systems already operate across industries such as pharma, energy, manufacturing, logistics, and retail. More than 300 AI agents already live inside our AI Marketplace. And the ecosystem keeps growing. Around it, we have secured several patents. And many more are on the way. We also build AI based data accelerators that automate large scale enterprise data engineering. People who join us do not work on experiments. They build real systems. They enjoy solving hard problems. And they take pride in building systems organizations rely on every day

Responsibilities

Required Qualifications

• Bachelor's/master's in computer science, Engineering, or related field.
• 4-7 years in data engineering, Snowflake, DBT, PySpark, SQL experience (certifications like SnowPro Core/Advanced preferred).
• Expert-level Python proficiency for data engineering (Snowpark, UDFs/UDTFs, scripting for automation).
• Strong SQL skills with Snowflake-specific optimizations (e.g., window functions, lateral joins).
• Experience with dbt, Airflow, or similar for orchestration; familiarity with cloud storage (S3, Azure Blob).
• Proven track record in building production-grade pipelines handling TB-scale data.