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5 часов назад

Senior Data Engineering Architect (Python)

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 Engineering Architect (Python/SQL): Designing and implementing scalable end-to-end data pipelines and enterprise data models with an accent on dimensional modeling and ETL best practices. Focus on automating manual data processes, improving data quality, and developing complex analytics solutions for senior business stakeholders.

Location: Arlington, VA

Company

hirify.global is a leading provider of professional information and data services.

What you will do

  • Design and build scalable end-to-end data pipelines to enable data-driven decision making through analytics.
  • Provide technical leadership to drive best practices for data modeling, ETL, and data quality.
  • Collaborate with senior business stakeholders to decompose complex problems and design technical analytics solutions.
  • Develop automated solutions to replace manual data processing workflows.
  • Proactively identify data quality issues and coordinate with system owners for rapid resolution.
  • Refine and enhance reporting data models to map business processes into an enterprise data model.

Requirements

  • Minimum 8 years of experience in information systems, including at least 5 years developing corporate relational DBMS.
  • Advanced SQL capabilities and hands-on development experience with ETL tools.
  • Programming proficiency in Python; experience with Java and/or Scala in distributed environments is required.
  • Strong understanding of data warehousing methodologies and dimensional data modeling.
  • Bachelor’s degree in Computer Science or a related discipline (Master’s degree preferred).
  • Proven experience designing component-based, open-system architecture and complex client-server systems.

Nice to have

  • Knowledge of reporting tools such as Tableau or Power BI.

Culture & Benefits

  • Integrated team environment working closely with data analysts, data scientists, and ML engineers.
  • Opportunity to influence overall architecture and strategy for end-to-end data pipeline deployment.
  • Commitment to equal opportunity and non-discrimination in employment.

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