Design and develop ETL/ELT pipelines using Azure Data Factory, Snowflake, and DBT.
Build and maintain data integration workflows from various data sources to Snowflake. o Write efficient and optimized SQL queries for data extraction and transformation.
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.
Monitor, troubleshoot, and optimize data pipelines for performance and reliability.
Maintain and enforce data quality, governance, and documentation standards.
Collaborate with data analysts, architects, and DevOps teams in a cloud-native environment.
Must-Have Skills:
6+ years of experience in data engineering roles using Azure and Snowflake, DBT.