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7 дней назад

Data Warehouse Engineer

Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Malaysia
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 Warehouse Engineer (Big Data): Building and optimizing group-level offline and real-time data warehouses, tag systems, and reusable feature libraries with an accent on SQL optimization, data modeling, and data governance. Focus on designing scalable data assets, implementing personalized recommendation features with algorithm teams, and ensuring reliable data quality through monitoring and alerting.

Location: Kuala Lumpur, Malaysia

Company

hirify.global is a cryptocurrency exchange and digital financial platform offering trading, payments, wealth management, custody, institutional services, and Web3 products.

What you will do

  • Build and optimize group-level offline and real-time data warehouses to consolidate unified data assets.
  • Develop real-time and offline tagging systems for business activities and precision user outreach.
  • Design user and product feature libraries and collaborate with algorithm teams on personalized recommendations and intelligent applications.
  • Complete data warehouse modeling and data asset design with a focus on reusability and scalability.
  • Establish data cleaning, quality monitoring, and alerting systems to improve data delivery accuracy and stability.

Requirements

  • Bachelor’s degree or above in Computer Science, Mathematics, Statistics, or a related field.
  • At least 2 years of experience in data warehouse development.
  • Expert SQL skills, including SQL optimization, and familiarity with big data engines such as SparkSQL.
  • Strong understanding of data warehouse and BI systems, ETL, warehouse architecture, OLAP, and multidimensional modeling.
  • Proficiency in at least one of Python, Scala, or Java, with strong engineering capabilities.
  • Logical thinking, learning ability, communication, teamwork, and the ability to independently resolve complex issues.

Nice to have

  • Experience with Hadoop, Hive, Spark, Flink, Kafka, Trino, Doris, or TiDB.

Culture & Benefits

  • Study Growth Fund supporting professional development and continuous learning.
  • Regular team-building activities, workshops, and internal events.
  • Collaboration with an international team across multiple regions.
  • Career advancement opportunities within a rapidly expanding company.
  • Internal mobility opportunities for long-term career development.

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