Senior Data Engineer

- 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