Data Engineer at Equinix implementing data architecture solutions for scalability and analytics. Collaborating with teams to design data pipelines and maintain data models for business objectives.
Responsibilities
Define and implement data architecture solutions aligned with business needs, focusing on scalability, process automation, and analytics readiness
Design and optimize data pipelines for processing large-scale structured and unstructured data via streaming/batch processing
Create and maintain data models to support data automation processes, business analytics, and AI applications
Collaborate with cross-functional teams to ensure data solutions address both technical and business objectives
Build and maintain schemas and data flows in data warehouses and lakes, supporting analytics and operational decision-making
Requirements
Expertise in data pipelines (ELT/ETL), centralized data platforms, and process automation and optimization
Hands-on experience in IaaS, Managed Services, infrastructure, and network business cases
Strong knowledge of business processes, including ITSM, event monitoring, observability, availability management, customer fulfillment, and quote-to-cash cycles.
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