Role - Azure Data EngineerMandatory Skill - Azure Data Factory, DBT, SnowflakeExperience range - 5-8 yrsLocation- Noida, Gurgaon, Pune, Bangalore, Hyderabad, ChennaiJob Description:Key Responsibilities :o Design and develop ETL/ELT pipelines using Azure Data Factory, Snowflake, and DBT.O Build and maintain data integration workflows from various data sources to Snowflake.O Write efficient and optimized SQL queries for data extraction and transformation.O Work with stakeholders to understand business requirements—especially within insurance processes such as policy, claims, underwriting, billing, and customer data—and translate them into technical solutions.O Monitor, troubleshoot, and optimize data pipelines for performance and reliability.O Maintain and enforce data quality, governance, and documentation standards.O Collaborate with data analysts, architects, and Dev Ops teams in a cloud-native environment.Must-Have Skills :o 4+ years of experience in data engineering roles using Azure and Snowflake,



DBT.O Strong experience with Azure Cloud Platform services.O Proven expertise in Azure Data Factory (ADF) for orchestrating and automating data pipelines.O Proficiency in SQL for data analysis and transformation.O Hands-on experience with Snowflake and Snow SQL for data warehousing.O Practical knowledge of DBT (Data Build Tool) for transforming data in the warehouse.O Experience working in cloud-based data environments with large-scale datasets.O Strong problem-solving, communication, and collaboration skills.Valuable-to-Have Skills:o Experience with Data Stage, Netezza, Azure Data Lake, Azure Synapse, or Azure Functions.O Familiarity with Python or Py Spark for custom data transformations.O Understanding of CI/CD pipelines and Dev Ops for data workflows.O Exposure to data governance, metadata management, or data catalog tools.O Knowledge of business intelligence tools (e.G., Power BI, Tableau).

📌 Azure Data Engineer (Uttar Pradesh)
🏢 Anonymous
📍 Uttar Pradesh