Key Responsibilities :

- 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.

- 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 :

- 4+ years of experience in data engineering roles using Azure and Snowflake, DBT.

- Strong experience with Azure Cloud Platform services.

- Proven expertise in Azure Data Factory (ADF) for orchestrating and automating data pipelines.

- Proficiency in SQL for data analysis and transformation.

- Hands-on experience with Snowflake and SnowSQL for data warehousing.

- Practical knowledge of DBT (Data Build Tool) for transforming data in the warehouse.

- Experience working in cloud-based data environments with large-scale datasets.

- Strong problem-solving, communication, and collaboration skills.