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4 дня назад

Senior GCP Data Engineer (BigQuery)

Формат работы
remote (только USA)/hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Senior GCP Data Engineer (BigQuery): Building and optimizing end-to-end data pipelines and cloud data architectures with an accent on BigQuery, legacy SQL Server integration, and scalability. Focus on designing partitioning and clustering strategies and developing automated quality-assurance frameworks for petabyte-scale datasets.

Location: Remote or Hybrid (US). Must be authorized to work in the U.S. without sponsorship.

Company

hirify.global is a modern product engineering partner blending strategy, craftsmanship, and speed to help organizations modernize through data ecosystems and AI acceleration.

What you will do

  • Own end-to-end data pipelines from ingestion and transformation through validation and delivery.
  • Architect scalable solutions in GCP, managing partitioning, clustering, and cost/slot optimization for BigQuery.
  • Bridge modern cloud architectures with legacy enterprise reporting systems using SQL Server and SSRS.
  • Develop complex queries and optimize performance using advanced SQL at scale.
  • Build automated data monitoring and reconciliation frameworks to ensure data integrity.
  • Integrate AI tools like Claude into daily workflows to streamline tasks and improve work quality.

Requirements

  • Authorized to work in the U.S. without sponsorship; C2C is not available.
  • Advanced, hands-on expertise with Google Cloud Platform (GCP) and BigQuery.
  • Strong proficiency in advanced SQL and database design principles.
  • Experience working within legacy environments using SQL Server and stored procedures.
  • Intermediate-level Python skills for automation and data processing.
  • Ability to lead, mentor, and provide project oversight within the SDLC.

Nice to have

  • Claude Certified Developer or Architect certification.
  • Experience with data visualization tools such as Power BI, Looker, or Tableau.
  • Proven track record of mentoring others on emerging AI technologies.

Culture & Benefits

  • Remote or hybrid work options.
  • Competitive salary, bonus opportunities, and a matching 401(k) plan.
  • Robust benefits package with substantial PTO and tuition reimbursement.
  • Investment in professional growth through training, mentorship, and industry certifications.
  • Inclusive culture featuring recognition programs like the AI Innovators Program.

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