Senior Data Engineer

Job description

• Design, develop, and maintain data solutions in Snowflake
• Develop and optimize complex SQL queries and data transformations
• Support migration of legacy and Excel-based processes into Snowflake
• Design and improve data models for reporting and analytics
• Perform data validation and reconciliation between legacy and modern data sources
• Ensure data quality, consistency, and reliability across solutions
• Troubleshoot and resolve complex data-related issues
• Collaborate with business stakeholders and analytics teams to define data requirements
• Work independently and take ownership of data engineering activities

• Strong hands-on experience with Snowflake
• Strong SQL expertise
• Solid experience with data warehousing concepts and practices
• Experience with data modeling and data transformation
• Experience with data migration, validation, and reconciliation
• Good understanding of data quality principles
• Strong analytical and troubleshooting skills
• Ability to work independently in a distributed environment
• Good communication and collaboration skills
• English level: Upper-Intermediate or higher

We are looking for a Senior Data Engineer to join a global Data & Analytics modernization initiative for a company operating in the fire and life safety industry.

The team is transforming legacy and Excel-based reporting processes into a modern Snowflake-based analytics environment. The project focuses on building scalable data solutions, improving reporting capabilities, ensuring data quality, and supporting business-critical analytics across international operations.

This is an opportunity to work with modern cloud data technologies while solving real-world challenges related to data migration, validation, reconciliation, and reporting modernization.

Originally posted on Himalayas