Azure Data Engineer

Role: Azure Data Engineer  
Exp: 4+ 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 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 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.