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Job Summary

Leveraging data to enhance automation strategies, optimize processes, and deliver actionable insights that drive operational excellence.

Responsibilities

• Collaborate with cross-functional teams to ensure data solutions address technical and business objectives

• Create and maintain data models to support automation processes, business analytics, and AI applications

• Define and implement data architecture solutions aligned with business needs, focusing on scalability, automation, and analytics readiness

• Design and optimize data pipelines for processing large-scale structured and unstructured data

Qualifications

Background

• Mid-level experience in data architecture, data engineering, or analytics engineering

• Expertise in data modeling (ELT/ETL) for analytics and process automation

Technologies

• Proficiency in data analytics tools and languages, such as SQL and Python

• Expertise in visualization tools like Power BI, Tableau, Looker or equivalent

Bonus

• Hands-on experience in IaaS, Managed Services, and private cloud business cases

• Knowledge of business processes including ITSM, event monitoring, availability management, customer fulfillment, and quote-to-cash cycles

• Knowledge of automation tools (e.g., Ansible, ServiceNow, UiPath) and AI/ML frameworks is an advantage

• Certifications in data analytics, visualization, or cloud platforms (e.g., Google Data Engineer, Microsoft Certified Data Analyst) are a plus

Equinix is committed to ensuring that our employment process is open to all individuals, including those with a disability.  If you are a qualified candidate and need assistance or an accommodation, please let us know by completing this form.

Equinix is an Equal Employment Opportunity and, in the U.S., an Affirmative Action employer.  All qualified applicants will receive consideration for employment without regard to unlawful consideration of race, color, religion, creed, national or ethnic origin, ancestry, place of birth, citizenship, sex, pregnancy / childbirth or related medical conditions, sexual orientation, gender identity or expression, marital or domestic partnership status, age, veteran or military status, physical or mental disability, medical condition, genetic information, political / organizational affiliation, status as a victim or family member of a victim of crime or abuse, or any other status protected by applicable law.