Data Engineer (Commercial)

Posted 5 Days Ago
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Bangkok, Phra Nakhon, Bangkok
Mid level
Marketing Tech • Retail • Software
The Role
The Data Engineer will design and manage data pipelines, implement ETL processes, ensure data quality, and collaborate with teams on data needs.
Summary Generated by Built In

We are looking for a skilled Data Engineer to join our team and help build and maintain our data infrastructure. The ideal candidate will be responsible for designing, implementing, and managing our data processing systems and pipelines. You will work closely with data scientists, analysts, and other teams to ensure efficient and reliable data flow throughout the organization.

Key Responsibilities
  • Design, develop, and maintain scalable data pipelines for batch and real-time processing.
  • Implement ETL processes to extract data from various sources and load it into data warehouses or data lakes.
  • Optimize data storage and retrieval processes for improved performance.
  • Collaborate with data scientists and analysts to understand their data requirements and provide appropriate solutions.
  • Ensure data quality, consistency, and reliability across all data systems.
  • Develop and maintain data models and schemas.
  • Implement data security measures and access controls.
  • Troubleshoot data-related issues and optimize system performance.
  • Stay up-to-date with emerging technologies and industry trends in data engineering.
  • Document data architectures, pipelines, and processes.

Requirements
  • Bachelor's degree in Computer Science, Engineering, or a related fields.
  • 2-4 years of experience in data engineering or similar roles.
  • Strong programming skills in Python, Java, or Scala.
  • Proficiency in SQL and experience with relational databases (e.g., Databrick, PostgreSQL, MySQL).
  • Familiarity with cloud platforms (AWS, Azure, or Airflow) and their data services.
  • Knowledge of data warehousing concepts and ETL best practices.
  • Experience with version control systems (e.g., Git).
  • Understanding of data cleansing, data modeling and database design principles.
  • Experience with Azure data platform (ADF, Databrick) is a plus.
  • Familiarity with data visualization tools (e.g., Tableau, Power BI).
  • Knowledge of stream processing technologies (e.g., Kafka, API, Google Big Query, MongoDB, SFTP sources).
  • Experience with containerization technologies (e.g., Docker).
  • Experience to deal with large data and optimization skill in development.
  • Understanding of machine learning concepts and data science workflows.
  • Solid problem-solving skills and attention to detail.
  • Good communication skills and ability to work with technical and non-technical team members.

Top Skills

Airflow
AWS
Azure
Databrick
Docker
Git
Google Big Query
Java
Kafka
MongoDB
MySQL
Postgres
Power BI
Python
Scala
Sftp
SQL
Tableau
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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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