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2 часа назад

Senior Data Engineer (GCP)

79 000 - 87 400$
Формат работы
onsite
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 Data Engineer (GCP): Developing and maintaining scalable ETL/ELT pipelines for enterprise data products with an accent on cloud-native architecture and high-performance data processing. Focus on building robust data models, optimizing BigQuery performance, and supporting advanced analytics and AI initiatives within supply chain and logistics domains.

Location: Must be based in San Francisco, CA

Salary: $79,000–$87,400

Company

hirify.global is a professional staffing and recruitment organization providing enterprise-level technical and specialized talent solutions.

What you will do

  • Design, develop, and maintain scalable ETL/ELT pipelines on Google Cloud Platform.
  • Optimize high-performance data solutions using Dataproc, BigQuery, and dbt.
  • Develop rigorous dimensional data models to support reporting and AI use cases.
  • Partner with product managers and architects to translate business requirements into technical solutions.
  • Perform unit testing, automated data validation, and production support to ensure data quality.
  • Participate in Agile ceremonies, including sprint planning, code reviews, and documentation.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, or related field.
  • 4+ years of professional experience in Data Engineering.
  • Hands-on experience building production data solutions on Google Cloud Platform.
  • Strong proficiency with Dataproc, BigQuery, advanced SQL, and dbt.
  • Deep understanding of data modeling, dimensional modeling, and warehouse architecture.
  • Working knowledge of Git-based version control and CI/CD best practices.

Nice to have

  • Experience with workflow orchestration tools such as Apache Airflow.
  • Familiarity with event streaming platforms like Apache Kafka.
  • Experience with distributed data processing using PySpark and Python.
  • Domain expertise in retail, supply chain, or Warehouse Management Systems.

Culture & Benefits

  • Major medical, dental, and vision insurance for assignments lasting 13+ weeks.
  • 401k retirement plan participation.
  • Statutory sick pay where required by law.
  • Commitment to reasonable accommodations for individuals with disabilities.
  • Inclusive hiring practices compliant with Fair Chance Ordinances.

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