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Data Engineer – Managed Infrastructure Solutions (Data Center)

 

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Data Engineer – Managed Infrastructure Solutions (Data Center)

  • JR-158790
  • 杂交种
  • Rio de Janeiro
  • Sao Paulo
  • Managed Services
  • Full time
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Who are we?

Equinix is the world’s digital infrastructure company®, shortening the path to connectivity to enable the innovations that enrich our work, life and planet. 
 

A place where bold ideas are welcomed, human connection is valued, and everyone has the opportunity to shape their future.

Joining our operations team means being at the center of everything – maintaining and evolving critical infrastructure that powers the digital world and delivers real impact for our customers, communities and society. You’ll find belonging, purpose, and a team that welcomes you—because when you feel valued, you’re empowered to do your best work.

Job Summary

This role contributes to the development and maintenance of data solutions that support Managed Infrastructure and IT Operations environments. The position focuses on building and optimizing data pipelines, creating reliable datasets, and enabling analytics for operational and business insights. The professional collaborates with cross-functional teams to ensure data solutions are scalable, maintainable, and aligned with organizational needs.

Responsibilities

  • Contribute to the implementation and evolution of data architecture solutions under technical guidance.
  • Develop, maintain, and optimize data pipelines (ELT/ETL) for structured and unstructured datasets.
  • Build and manage data models in data warehouses and data lakes to support analytics and automation.
  • Collaborate with IT Operations and cross-functional teams to ensure data solutions meet both technical and business requirements.
  • Implement and maintain workflows using orchestration tools such as Airflow or Prefect.
  • Create curated datasets using dbt or similar modeling frameworks.
  • Support schema development and data flow design for analytics, reporting, and operational decision-making.
  • Assist in integrating data from IT Operations systems such as ServiceNow, VMware, Commvault, and NetApp.

Qualifications

  • Experience with data pipeline development (ETL/ELT) and centralized data platforms.
  • Proficiency in SQL (advanced) and Python (must have).
  • Hands-on experience with cloud data environments (preferred: Google Cloud Platform – BigQuery, Google Storage).
  • Experience with orchestration tools (Airflow or Prefect).
  • Experience with dbt or similar data modeling tools.
  • Understanding of IT Operations processes (e.g., ITSM, monitoring, availability).
  • Familiarity with data lake and data warehouse concepts.
  • Exposure to tools such as Kubernetes, Pub/Sub, AWS S3, Tableau, or Power BI (nice to have).
  • Ability to work in hybrid environments and collaborate across technical teams.
  • Fluency in English (must have).

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. 

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