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Job Description

Location: Hanoi + Remote (flexible)

(Vietnamese only)

Company Description

LEAD Consulting is a pioneering firm dedicated to driving data-driven transformation for organizations in Vietnam. We specialize in leveraging data analytics and big data technologies to enhance operational efficiency and deliver sustainable value. Our comprehensive services span Data & AI Strategy, Marketing and Operational Transformation, Technology and Organizational Transformation, and Data Analytics and Machine Learning as a Service. By providing tailored solutions from strategy to implementation, LEAD Consulting empowers businesses to achieve measurable outcomes and adapt to the evolving digital landscape. Our headquarters is located in Hanoi, Vietnam.

Role Description

This is a full-time, on-site position based in Hanoi for a Data Engineer. In this role, the Data Engineer will design and implement scalable data pipelines, build and optimize data storage systems, and collaborate with cross-functional teams to support data-driven decision-making. Responsibilities include developing data models, managing ETL processes, ensuring data quality and accessibility, and providing technical oversight for data engineering projects. The ideal candidate will also contribute to innovation in data analytics solutions and support internal and external stakeholders in delivering impactful results.

Qualifications

  • Strong proficiency in Data Engineering and Data Modeling
  • Experience with Extract, Transform, Load (ETL) processes and tools
  • Knowledge of Data Warehousing and designing scalable storage solutions
  • Proficiency in programming languages such as Python, Java, or Scala
  • Familiarity with big data technologies such as Hadoop, Spark, or Kafka
  • Excellent problem-solving skills and the ability to optimize data systems for performance
  • Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related discipline
  • Experience in the consulting space or with analytics in an organizational transformation context is a plus

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About Company

Job ID: 145215367

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