AI - Data Engineer

Posted 4 Days Ago
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Hiring Remotely in Bangkok, Phra Nakhon, Bangkok, THA
Remote
Mid level
Marketing Tech • Retail • Software
The Role
Build and maintain scalable data platforms and ETL/ELT pipelines for BI, analytics, ML, and LLM training. Collaborate with stakeholders and data scientists, design databases, manage data dictionaries, optimize performance, and deploy batch and streaming big data solutions using appropriate tools and frameworks.
Summary Generated by Built In

We are looking for a AI Data Engineer to design, develop, and maintain scalable data platforms and pipelines that support Business Intelligence, Analytics, Machine Learning, and AI initiatives. You will collaborate with business stakeholders, data scientists, and engineering teams to build reliable ETL/ELT processes, optimize data performance, and deliver high-quality data solutions that enable data-driven decision-making across the organization.

Key Responsibilities

  • Develop and maintain robust data pipelines to ingest, process, and transform raw data into formats suitable for LLM training.
  • Conduct meeting with users to understand the data requirements and perform database design based on data understanding and requirements with consideration for performance
  • Maintain data dictionary, relationship and its interpretation
  • Analyze problem and find resolution, as well as work closely with administrators to monitor performance and advise any necessary infrastructure changes
  • Work with business domain experts, data scientists and application developers to identify data that is relevant for analysis
  • Develop big data solutions for batch processing and near real-time streaming
  • Own end-to-end data ETL/ELT process framework from Data Source to Data warehouse
  • Select and integrate appropriate tools and frameworks required to provide requested capabilities
  • Design and develop BI solutions
  • Hands-on development mentality, with a willingness to troubleshoot and solve complex problems
  • Keep abreast of new developments in the big data ecosystem and learn new technologies
  • Ability to effectively work independently and handle multiple priorities

Requirements
  • Bachelor degree or higher in Computer Science, Computer Engineering, Information Technology, Management Information System or an IT related field.
  • 3+ year's experiences in Data Management or Data Engineer (Retail or E-Commerce business is preferrable)
  • Expert experience in query language (SQL), Databrick SQL, PostgreSQL
  • Experience in Big Data Technologies like Hadoop, Apache Spark, Databrick
  • Experience in Python is a must
  • Experience in Generative AI is a must
  • Knowledge in machine/statistical learning, data mining is a plus
  • Strong analytical, problem solving, communication and interpersonal skills.   
  • Having good attitude toward team working and willing to work hard.

Skills Required

  • Bachelor's degree in Computer Science, Computer Engineering, IT, MIS, or related field
  • 3+ years experience in Data Management or as a Data Engineer
  • Expertise in SQL (including Databricks SQL) and PostgreSQL
  • Experience with Big Data technologies: Hadoop, Apache Spark, Databricks
  • Proficient in Python
  • Experience with Generative AI
  • Experience designing and maintaining ETL/ELT pipelines and data warehouses
  • Experience in Retail or E-Commerce data environments
  • Knowledge of machine/statistical learning and data mining
  • Strong analytical, problem solving, communication and interpersonal skills
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The Company
HQ: Khet Suan Luang, Bangkok
103 Employees

What We Do

Makro PRO is an exciting new digital venture by the iconic Makro. Our proud purpose is to build a technology platform that will help make business possible for restaurant owners, hotels, and independent retailers, and open the door for sellers. Makro PRO brings together the best talent across multi-nationals to transform the B2B marketplace ecosystem. We welcome bold, energetic, and thoughtful people who share our belief in collaboration, diversity, excellence, and putting customers at the heart of our work.

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