Data Engineer

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 :

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.