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Manager, Data Engineering

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

Текст:
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TL;DR

Manager, Data Engineering (Data Infrastructure): Leading a team in designing, building, and maintaining scalable data infrastructure and pipelines with an accent on data integrity, security, and cross-functional collaboration. Focus on optimizing ETL processes, mentoring engineering talent, and integrating advanced big data technologies to drive organizational decision-making.

Location: Must be based in the US (Remote)

Company

hirify.global is a global software company dedicated to the success of technology solution providers, supporting over 45,000 partners with business management and automation tools.

What you will do

  • Lead and mentor a team of data engineers to foster innovation and continuous improvement.
  • Design, implement, and optimize robust data pipelines and ETL processes.
  • Collaborate with data scientists and analysts to translate business needs into technical solutions.
  • Ensure high standards for data quality, governance, and industry compliance.
  • Evaluate and integrate emerging technologies to enhance data processing capabilities.

Requirements

  • Must be based in the US
  • Proven experience in data engineering with deep knowledge of data architecture and ETL.
  • Proficiency in Python, Java, or Scala.
  • Hands-on experience with cloud platforms like AWS, Azure, or Google Cloud.
  • Familiarity with big data technologies such as Hadoop or Spark.
  • Strong leadership and communication skills to manage and motivate a technical team.

Culture & Benefits

  • Inclusive and diverse work environment valuing unique perspectives.
  • Opportunity to work at a global industry-leading software company.
  • Focus on community-driven development and professional growth.
  • Commitment to equal opportunity and reasonable accommodations for qualified individuals.

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