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12 часов назад

Senior Data Engineer

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
c1
Страна
Thailand
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
Senior Data Engineer (Databricks/Spark): Building scalable enterprise data platforms, pipelines, semantic layers, and governed datasets for analytics, machine learning, and AI initiatives with an accent on data architecture, data quality, and self-service analytics. Focus on designing KPI frameworks, enabling natural-language data access, and implementing RAG, vector search, CI/CD, and observability across business domains.

Location: Pathumthani (Navanakorn), Thailand; onsite

Company

hirify.global develops technology products and enterprise solutions, with this role supporting centralized, AI-enabled analytics across Sales, Operations, Manufacturing, Supply Chain, Finance, and HR.

What you will do

  • Design, develop, and maintain scalable data pipelines, data products, and enterprise data models for analytics, reporting, machine learning, and AI initiatives.
  • Build and optimize data architectures using Databricks, Delta Lake, Spark, SQL, and cloud-native technologies.
  • Develop semantic layers, business metrics, governed datasets, metadata frameworks, business glossaries, and KPI definitions for self-service analytics and conversational AI.
  • Partner with business stakeholders, data scientists, analytics engineers, and BI developers to translate requirements into reusable data solutions.
  • Establish data quality, lineage, observability, security, governance, reliability, and performance standards.
  • Support AI-enabled analytics, including retrieval-augmented generation, vector search, knowledge repositories, and semantic search.

Requirements

  • Degree in Computer Engineering, Computer Science, IT, or a related field.
  • 10+ years of hands-on experience as a Data Engineer or in a similar role.
  • Strong SQL and data modeling skills, including Databricks, Delta Lake, Spark, and cloud-native technologies.
  • Strong analytical, troubleshooting, problem-solving, communication, and teamwork skills.
  • Excellent English proficiency required.

Culture & Benefits

  • Full-time employment in a fast-paced and innovative environment.
  • Cross-functional collaboration with business and technology teams.
  • Opportunity to advance enterprise analytics and AI-enabled decision-making.
  • Equal opportunity employment and reasonable accommodations throughout the hiring process.

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