Data Analyst (Gen AI)

Job Description

\n
• Local candidates preferred, with an expectation to be in RTC 3-5 days per week
\n
• Hands-on Generative AI and LLM expertise, including AI agents, Retrieval-Augmented Generation (RAG), Amazon Bedrock, and enterprise AI integration.
\n
• Strong data architecture and engineering skills, including designing data pipelines, data models, integrations, and scalable processing of large datasets.
\n
• Strong Python and PySpark development skills for data processing, analytics, automation, and AI-enabled applications.
\n
• Experience designing AI-enabled products, translating business and product requirements into practical technical architectures and implementation approaches.
\n
• Strong API and systems integration experience, including REST APIs and connecting applications, data platforms, AI services, and enterprise systems.
\n
• Experience with modern cloud-native and serverless architectures, including AWS Lambda, Glue, Step Functions, containers, and event-driven workflows.
\n