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8 дней назад

Data Engineer (Cloud Data Platforms)

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

Текст:
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TL;DR
Data Engineer (Cloud Data Platforms): Designing and optimizing enterprise data platforms, pipelines, and models for reporting, analytics, automation, and AI initiatives with an accent on scalability, security, data quality, and cloud architecture. Focus on architecting data solutions, automating data processes, implementing dimensional models, and leading cross-functional engineering initiatives.

Location: The Woodlands, Texas, United States

Company

hirify.global delivers integrated storage and asset-management solutions for facilities across their lifecycle through its Storage Solutions and Asset Solutions business units.

What you will do

  • Design, develop, integrate, and optimize enterprise data platforms, pipelines, and data models supporting reporting, analytics, automation, and AI initiatives.
  • Establish data management requirements and select suitable data platform technologies and data integration strategies.
  • Lead scalable, efficient, secure data pipeline and infrastructure architecture across diverse data sources.
  • Design dimensional and star-schema data models, improve system performance and cost-efficiency, and resolve pipeline issues.
  • Automate repetitive data processes and maintain documentation for pipelines, processes, and architectures.
  • Advise on data governance, regulatory compliance, data stewardship, risk management, and provide technical leadership across initiatives.

Requirements

  • Bachelor’s degree in computer science, data engineering, information systems, or equivalent work experience required.
  • 15 years of general data and application experience, including 10+ years specifically in data engineering, with hands-on ETL/ELT, data modeling, and cloud platform experience.
  • Strong expertise in Python, Java, or C#, SQL, data engineering, integration, and data architecture best practices.
  • Extensive experience with data pipeline tools such as Informatica, Azure Data Factory, or Apache Kafka.
  • Experience with SQL Server, Oracle, or MongoDB and cloud data platforms such as Snowflake, Microsoft Synapse, or Databricks.
  • Knowledge of data modeling, data warehousing, master data management, APIs, data governance, security, privacy, and compliance.
  • Experience delivering data engineering projects in teams, leading cross-functional initiatives, and collaborating with business and technology stakeholders.
  • Ability to communicate clearly in writing and verbally, lead presentations, training courses, and effective meetings.
  • Experience managing relationships with data engineering consultants and cloud data platform vendors.

Nice to have

  • Master’s degree in computer science, data engineering, or information systems.
  • Experience in the Architecture, Engineering, and Construction industry.
  • Relevant data engineering certifications.
  • Experience with reporting and visualization tools such as PowerBI, Tableau, or Business Objects.

Culture & Benefits

  • Work with Global IT, global business and functional leads, infrastructure and cybersecurity teams, analysts, and business stakeholders.
  • Contribute to a healthy and safe work environment and promote company values and culture.
  • Emphasis on continuous improvement, automation, scalability, security, reliability, and technical excellence.

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