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.
Own and modernize scalable data systems for a cybersecurity product by improving pipelines, models, and SQL performance while driving reliability and architectural improvements across the platform.
Design and deliver AI-ready data platforms, pipelines, and semantic layers for client engagements, translating business needs into scalable analytics solutions and supporting AI-enabled workflows from design through production.
Build and own scalable data products, pipelines, and machine learning systems, applying software engineering practices to improve data quality and help teams discover and use trusted data.
Own and modernize data workflows, improving their reliability, performance, and scalability while building a deep understanding of existing data systems and driving cross-team improvements.
Design and modernize enterprise data pipelines, warehouses, and analytics solutions, migrating legacy SQL Server and SSRS systems to AWS-based platforms that support trusted reporting and self-service data access.
