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10 часов назад

Data Governance Engineer

Тип работы
fulltime
Грейд
junior
Английский
b2
Страна
Indonesia
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 Engineer (Data Quality and Cloud Warehouses): Establishing data policies, quality standards, access controls, and catalogs across data stacks with an accent on automation, security, and consistent data understanding. Focus on designing monitoring systems, documenting data flows, optimizing SQL queries, and coordinating governance requirements across business, engineering, legal, and risk teams.

Location: Jakarta, Indonesia

Company

hirify.global is hiring for a data governance role focused on strengthening standards, policies, and controls for organizational data.

What you will do

  • Establish procedures, policies, and standards for processing, storing, accessing, and visualizing data.
  • Define data quality standards, metrics, and monitoring systems across the data stack.
  • Develop data classification policies and data and dashboard user access matrices with business, engineering, legal, and risk teams.
  • Design and implement a data catalog to create consistent data understanding across business and technical users.
  • Document and communicate data procedures, policies, standards, and flows while supporting broader data usage.

Requirements

  • 1–3 years of experience in data-related fields.
  • Strong understanding of data security, data modeling, data quality and monitoring, and data architecture.
  • Hands-on experience with UNIX and Python; Spark and Airflow experience is preferred.
  • Strong SQL proficiency, including writing efficient queries.
  • Hands-on experience with cloud data warehouses, preferably AWS and GCP.
  • Strong communication skills in Bahasa and English are required.

Nice to have

  • Experience in data governance-related roles.
  • Experience documenting processes, data flows, and policies.

Culture & Benefits

  • Full-time employment.
  • Cross-functional collaboration with business, engineering, legal, risk, and related teams.
  • Focus on automating data governance procedures and controls.

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