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4 часа назад

Data Governance/Quality Engineer

Тип работы
fulltime
Грейд
middle/senior
Английский
c1
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 Governance/Quality Engineer: Designing and maintaining data quality controls and monitoring processes with an accent on data lineage, profiling, and cleansing. Focus on operationalizing Critical Data Elements (CDEs) and supporting AI-driven data initiatives to ensure high standards of data integrity.

Company

hirify.global is an independent technology consulting firm providing guidance and solutions to businesses across 60+ countries.

What you will do

  • Translate data quality requirements into technical rules in collaboration with business stakeholders.
  • Design and implement data quality controls, metrics, and monitoring processes.
  • Analyze data flows and lineage to identify root causes of quality issues.
  • Operationalize Critical Data Elements (CDEs) and manage preventive and detective controls.
  • Contribute to governance frameworks, metadata standards, and business glossaries.
  • Support analytics, reporting, and AI-driven data initiatives.

Requirements

  • Bachelor’s degree in Computer Science, Information Systems, Statistics, or related field.
  • 3–5 years of experience in Data Governance, Data Quality, or Data Engineering.
  • Strong proficiency in SQL.
  • Experience with at least one programming language such as Python, R, Java, or Scala.
  • Professional proficiency in English.
  • Understanding of data governance, data observability, and agile methodologies.

Nice to have

  • Experience with Informatica Cloud.
  • Familiarity with Databricks, Salesforce, AS400, and modern data architectures.

Culture & Benefits

  • Access to an internal Academy with 250+ training modules.
  • International environment with 110+ nationalities.
  • Opportunities to lead ESG and sustainability projects through the WeCare Together program.
  • Vibrant workplace culture with regular team events and afterworks.

Hiring process

  • Brief virtual or phone conversation to discuss motivations and fit.
  • Approximately 3 interviews with team members and line management.
  • Technical assessment or case study depending on the specific role requirements.

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