Tuyển dụng Internship Data Operations Engineer Python, SQL tại Hồ Chí Minh

• Participate in real-world data engineering and big data projects with leading companies from Korea.
• Operate, monitor, and maintain large-scale data collection systems across e-commerce platforms, social media, and other online sources.
• Take part in the end-to-end data lifecycle, including: 
  • Data Collection: Collect and extract structured and unstructured data from websites, APIs, and mobile applications.
  • Data Operations: Monitor daily data collection activities, track execution status, investigate failures, and support issue resolution.
  • Data Quality Control: Validate data completeness, accuracy, consistency, and freshness; identify anomalies and data quality issues.
  • Data Processing: Clean, transform, normalize, and structure raw data for analytics, reporting, and AI applications.
  • Data Pipeline Development: Develop, maintain, and automate data processing workflows using Python, SQL, and related technologies.
  • Data Storage & Integration: Support data management across relational databases, cloud storage, and data warehouses.
• Develop scripts and internal tools to improve operational efficiency, reduce manual tasks, and enhance data reliability.
• Collaborate with Data Engineers, AI Engineers, and project teams to troubleshoot issues and continuously improve data pipelines.
• Other data-related tasks: web scraping, data mining, data analysis, reporting, and AI data preparation.

REQUIREMENTS

• Programming: Basic to intermediate proficiency in Python, with familiarity with libraries such as Pandas and Requests.
• Database & SQL: Understanding of relational databases and the ability to write basic SQL queries for data extraction, validation, and transformation.
• Data Fundamentals: Basic knowledge of data structures, JSON, CSV, APIs, data processing, and data quality concepts.
• Problem-Solving: Strong analytical thinking, attention to detail, and willingness to investigate technical issues.
• Operations Mindset: Ability to follow operational procedures, monitor system status, document issues, and work carefully with large datasets.
• Communication Skills: Good communication skills in Vietnamese and English.
• Education: Final-year student or fresh graduate in Computer Science, Data Engineering, Data Science, Information Technology, or a related field.

PREFERRED QUALIFICATIONS

• Hands-on experience with web scraping or data extraction tools such as BeautifulSoup, Scrapy, Selenium, or Playwright.
• Familiarity with ETL/ELT processes, data pipelines, or workflow automation.
• Experience with databases or cloud platforms such as PostgreSQL, BigQuery, Google Cloud Storage, AWS, or GCP.
• Basic knowledge of Linux, Git, Docker, or task scheduling.
• Exposure to Apache Airflow, PySpark, or other big data processing technologies.
• Experience developing scripts for data validation, automated reporting, or operational monitoring.

Prior professional experience is not required. Personal projects, academic projects, and a strong willingness to learn are highly valued.

Internship Program & Full-time Opportunity

• Internship Duration: 3 months, with hands-on training and participation in real-world projects.
• Internship Evaluation: At the end of the internship, interns will prepare and present an Internship Report, summarizing their assigned tasks, technical contributions, achievements, and learning outcomes.
• Performance Review: ABC Studio will evaluate each intern based on technical skills, problem-solving ability, work performance, learning progress, and overall contribution.
• Full-time Opportunity: Interns who successfully complete the internship and pass the final evaluation will be offered a full-time employment contract.

About Us

ABC Studio (AI Bigdata Content Studio) is a Korea–Vietnam AI company specializing in AI optimization, generative AI, and big data engineering, with a strong focus on market intelligence, visual content, Computer Vision, and Edge AI for smart devices.

We work closely with leading Korean partners to build and operate large-scale data collection and processing systems, transforming data from global e-commerce platforms, social media, and digital ecosystems into valuable insights and AI-ready datasets.

Our data engineering team plays a critical role in ensuring the reliability, quality, and scalability of these systems, supporting both business intelligence and advanced AI applications.

Our Vision

1. To become a global leading company in market intelligence, leveraging large-scale data from global e-commerce platforms, KOLs, and social media.
2. To build a robust AI infrastructure layer for efficient deployment across cloud, mobile, and embedded devices.
3. To lead innovation in AI-driven content engineering, spanning film (VFX), webtoons, and social marketing.

What You'll Gain

• Hands-on experience with real-world, large-scale data collection and processing systems.
• Practical exposure to Data Operations, Data Quality Control, and Data Engineering.
• Opportunities to work with Python, SQL, cloud infrastructure, and data automation technologies.
• Experience troubleshooting production data pipelines and improving system reliability.
• Collaboration with experienced engineers and international project teams.
• Opportunities for long-term career development in Data Engineering, Big Data, and AI infrastructure.

We are continuously expanding our data collection and AI infrastructure projects in collaboration with our Korean partners. We are looking for detail-oriented, proactive, and technically curious individuals who are eager to learn, solve real-world problems, and grow with us.