ESSENTIAL SKILLS: Strong data engineering skills, including Python coding and data ingestion (ETL, Kafka, Apache Spark). Familiarity with AI/ML frameworks (e.g., Langchain, Langgraph, GAIA) and their integration into solutions. Proven ability to translate business requirements into well-defined technical specifications.