Data Engineer

Role Overview: As a senior Data Engineer with 8+ years of experience, you will be responsible for building scalable data pipelines, integrating LLM/GenAI components, and supporting analytics workloads on Azure. Your expertise in Python and hands-on experience in Azure data services will be crucial for this role. Key Responsibilities: - Utilize Python for advanced data engineering tasks - Work with Azure Data Factory, Data Lake, Databricks/Spark, and Synapse - Perform SQL queries and data modeling - Implement GenAI/LLM workflows including RAG, embeddings, vector DBs, LangChain/Semantic Kernel Qualifications Required: - Strong expertise in Python - Hands-on experience with Azure Data Factory, Data Lake, Databricks/Spark, and Synapse - Proficiency in SQL and data modeling - Experience with GenAI/LLM workflows such as RAG, embeddings, vector DBs, LangChain/Semantic Kernel Additional Details: The company is seeking immediate joiners for this urgent requirement. (Note: Good to have skills like CI/CD, Git, DevOps, PySpark, and MLOps basics are mentioned but not listed as must-have qualifications),