Lead Data Engineer

CJ MORE (Bang Rak, Bangkok City, Thailand)

Bangkok, Thailand

CJ MORE, one of the most popular Thai retailers. To establish itself apart from competitors, CJ MORE would launch a new business in 2020 under the theme "More Than a Supermarket." Being more than simply a supermarket and convenience store to fulfill all of consumers' needs and differentiate from other peers in the same market with our strong store brands such as Nine Beauty, Bao Cafe, Uno and A-Home. The firm is moving forward and growing its own retail brand to better serve its consumer groups, with the goal of becoming a public company in the future. CJ MORE is a unique iteration of the typical supermarket, providing a wide variety of products and services and consumer goods at reasonable prices. The company has expanded substantially over the last 18 years. There are now more than 1000 branches operational in over 42 provinces nationwide.

About this position

As a Lead Data Engineer at CJ MORE, you'll design and optimize scalable data systems across key products, ensuring seamless data flow and real-time decision-making while leading the team and driving data engineering excellence.

Responsibilities

What You'll Do:
• Provide technical hand-on mentorship in data engineering practices (e.g. data architecture, data ops, data quality management, or orchestration tools).
• Design and implement data ops and data pipeline on data lake/data lakehouse concept.
• Monitor data platform cluster (Kubernetes).
• Coaching other team members.
• Develop data engineering best practices across product squads.

Requirements

About You:
• At least 4+ years of experience in designing and implementing data pipelines on data lake/data lakehouse concept.
• Experience with Apache Spark and Apache Airflow.
• Experience with NoSQL and GraphDB.
• Ability to manage multiple projects.
• Understanding of data ops and data quality/data validation concepts.
• Strong programming skills (SQL, Python, Scala).
• Strong in using Docker and Kubernetes.
• Experience in coding standard and testing practices.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills.
• A growth mindset with a passion for learning and knowledge sharing.
It’s Great if you have:
• Experience in data ingestion and dataops tools (e.g. Airbyte, SQLMesh) is a plus.
• Understanding of data lineage, data observability, data mesh, or data governance concept is a plus.
• Data analytics engineer or data scientist experience is a plus.