Key Responsibilities:- Design, develop and maintain scalable data pipelines using Azure Databricks and Snowflake.- Build and optimize ETL/ELT workflows for large-scale data processing.- Work with Azure Data Factory, Azure Data Lake Storage and related Azure services.- Develop productive data models and optimize SQL queries for performance.- Integrate GenAI and LLM capabilities into data engineering workflows.- Collaborate with data scientists, AI engineers and business stakeholders.- Ensure data quality, security, governance and reliability.- Monitor pipeline performance and troubleshoot data processing issues.Required Skills:- 6 - 8 years of experience in Data Engineering.- Strong hands-on experience with Azure Databricks and Snowflake.- Proficiency in Python, PySpark and SQL.- Experience developing ETL/ELT pipelines and working with cloud data platforms.- Knowledge of Azure Data Factory and Azure Data Lake Storage.- Understanding of data warehousing, data modelling and performance optimization.- Exposure to Generative AI, LLMs, RAG or AI-integrated data workflows.- Strong analytical, problem-solving and communication skills. (ref:hirist.tech)

📌 Senior Data Engineer - Azure Databricks/Snowflake (India)
🏢 IT firm
📍 India