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1 день назад

Data Engineer (Forward Deployed) (AI)

Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Singapore
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Data Engineer (Forward Deployed) (AI): Designing and operating the data foundations for a GPU cloud platform with an accent on scalable data pipelines, ontology modelling, and operational signal processing. Focus on building a digital twin of the infrastructure using Palantir Foundry to drive platform reliability and customer outcomes.

Location: APAC; Singapore

Company

hirify.global is a GPU cloud engineered for AI, providing cost-effective, high-performance infrastructure for AI startups and large enterprises.

What you will do

  • Design and build scalable, reliable data pipelines to ingest data from infrastructure, platform services, and business systems.
  • Define data models and schemas to create a digital twin of hirify.global's operations, monitoring, and analytics.
  • Create trusted datasets and metrics for capacity planning, cost optimization, and customer reporting.
  • Implement data quality checks, monitoring, and alerting to ensure data correctness and availability.
  • Take end-to-end ownership of projects from initial design through to production and iteration.
  • Collaborate with Product and Commercial teams to translate business questions into robust data solutions.

Requirements

  • Deep, hands-on experience building in Palantir Foundry, including ontology modelling and pipeline development.
  • Strong proficiency in Python and data engineering frameworks (Spark, PySpark, Dask, pandas).
  • Experience with API-driven data integration, including REST, GraphQL, and Foundry Action APIs.
  • Practical experience with Git-based development workflows, code reviews, and CI/CD pipelines.
  • Ability to thrive in ambiguous, early-stage environments where requirements evolve quickly.
  • Must be based in or authorized to work in Singapore/APAC.

Nice to have

  • Experience with cloud platforms (AWS, GCP, Azure) and infrastructure telemetry.
  • Familiarity with distributed systems, monitoring data, or usage-based billing data.
  • Experience supporting customer-facing data products or platforms.

Culture & Benefits

  • Competitive compensation package including base salary and equity.
  • Annual performance and salary reviews.
  • Dynamic progression plan tailored to personal ambitions and impact.
  • Human-first flexibility and autonomy to shape your own workday.
  • Opportunity to contribute to cutting-edge AI infrastructure at a fast-growing startup.

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