- 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.
Data Engieer
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 efficient 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.
- Solid 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.
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
📌 Data Engieer (Rajkot)
🏢 NS Global
📍 Rajkot
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