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Junior Data Engineer

The Young Leaders Council

Seoul, South KoreaOn Site

Original Job Summary

Job Overview

The Young Leaders Council is seeking a Junior Data Engineer responsible for designing, building, and maintaining data pipelines and infrastructure. This role supports data-driven business decisions by ensuring reliable data flow and quality data management.

Key Responsibilities

  • Design, build, and maintain efficient data pipelines.
  • Automate ETL processes including data collection, transformation, and loading.
  • Monitor and ensure data quality and consistency.
  • Collaborate with analysts and data scientists.
  • Assist in managing cloud-based data environments (AWS, GCP, Azure).

Qualifications & Skills

  • Background or hands-on experience in data engineering or related fields.
  • Proficiency in SQL and Python.
  • Basic understanding of ETL processes and data pipeline concepts.
  • Experience with cloud platforms (AWS, GCP, or Azure) considered a plus.
  • Understanding of database structures and API integrations.
  • Business-level Korean; English proficiency is a plus.

Work Conditions

  • On-site work at a Korea office.
  • Full-time employment with flexible working hours.
  • Tools used include Python, SQL, Airflow, BigQuery, AWS, Git, and Docker.

What You’ll Gain

  • Real-world data infrastructure and operational experience.
  • Improved skills in pipeline design and automation.
  • Growth through collaboration with analytics and engineering teams.
  • Potential career path to Senior Data Engineer or Data Architect roles.

Key skills/competency

  • Data Pipelines
  • ETL
  • SQL
  • Python
  • Cloud Platforms
  • AWS
  • Data Quality
  • Collaboration
  • Automation
  • Infrastructure

How to Get Hired at The Young Leaders Council

🎯 Tips for Getting Hired

  • Research The Young Leaders Council: Understand their mission and recent projects.
  • Customize your resume: Highlight data engineering and ETL skills.
  • Showcase cloud expertise: Emphasize AWS, GCP, or Azure experience.
  • Prepare examples: Use real instances of pipeline design successes.
  • Practice behavioral questions: Be ready to discuss collaboration and problem-solving.

📝 Interview Preparation Advice

Technical Preparation

Review SQL and Python coding challenges.
Practice ETL process design exercises.
Study cloud platform fundamentals (AWS, GCP, Azure).
Work on Docker and Airflow projects.

Behavioral Questions

Describe a time you solved a technical issue.
Explain a project involving data collaboration.
Discuss how you manage work deadlines.
Share an experience of adapting to change.