Data Engineer
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Role details
Tech stack
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Requirements
· Python & AI/ML Frameworks (Spark, major AI/ML framework)
· Database Management (PostgreSQL, Snowflake)
· Big Data & Distributed Computing (Spark, Delta Lake)
· Databricks (data engineering & ML workflows)
· LLM Pipeline Experience (ingestion, pre-processing, prompt engineering, fine-tuning, deployment)
· AI Workflow Tools (LangChain, LangGraph)
· LLM APIs (OpenAI, Azure OpenAI, Hugging Face)
· Cloud Computing & Azure Architecture
· Soft Skills (problem-solving, attention to detail, communication)
Secondary / Desired Skills
· Model Context Protocol (MCP)
· Snowflake concepts
· Containerization & Cloud Infrastructure (Docker, CI/CD, Google Cloud Platform, Azure)
· Telecom domain/industry knowledge
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