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GreenTree Advisory Services Pvt. Ltd. · posted 5 months ago
Role: Azure Data Engineer
Exp: 6+ Years
Location: Pune/Gurugram/Noida/Bangalore/Hyderabad/Chennai (Hybrid)
About the Role:
Azure Data Engineer with Insurance Domain knowledge.
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 DevOps teams in a cloud-native environment.
Must-Have Skills:
o 6+ 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 SnowSQL 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.
Good-to-Have Skills: o Experience with DataStage, Netezza, Azure Data Lake, Azure Synapse, or Azure Functions. o Familiarity with Python or PySpark for custom data transformations. o Understanding of CI/CD pipelines and DevOps 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). Qualifications: o Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related field.