getSummary
Written in English from the original postingSigma Software is hiring a Senior Data Engineer for a global data and analytics modernization project in the fire and life safety industry. The role focuses on building and optimizing Snowflake-based data solutions, migrating legacy and Excel-based processes, and supporting data modeling, validation, reconciliation, and reporting. Strong SQL, data warehousing, and data quality experience are required.
Job description
Company Description
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.
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
Qualifications
- 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
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