Staff, Data Engineer (Global Security)

What You’ll Do

• Build and Optimize Data Pipelines: Design, develop, and enhance scalable ETL/ELT pipelines to migrate, transform, and load large datasets from diverse sources (e.g., databases, APIs, flat files), ensuring seamless integration for analytics, reporting, and AI solutions.
• Drive Technical Innovation: Leverage advanced tools and techniques to create reusable, secure, and efficient technical solutions that align with business needs and project lifecycle deliverables, including data sharing and governance.
• Champion Snowflake Best Practices: Guide users on effective Snowflake utilization, establishing standards for data consumption, storage, and workflow integration while designing and implementing high‑impact stored procedures.
• Collaborate Across Teams: Partner with cross‑functional stakeholders to translate data requirements into robust solutions that empower analytics, reporting, AI, and machine learning initiatives.
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