ZALORA - Data Engineer II

ABOUT THE ROLE

We are looking for a Data Engineer II to join our global data platform team. You will work on a highly scalable cloud-based environment, utilizing modern data engineering tools like Airflow, Trino, and Prometheus running on Kubernetes in a multi-cloud environment (GCP & AWS). The ideal candidate will have experience in debugging complex performance and application-related issues and providing scalable data solutions to support high-impact data science projects like search and recommendation, pricing, and inventory management.

We have built most of our systems on open source technologies. We are using PHP, MySQL, Docker, Solr, Golang, AWS, and more. We believe in choosing the best tool for the job, and part of your responsibility will be to identify the tools to help us grow into the next five years at ZALORA.

WHAT WILL YOU DO

• Propose solutions for running multi-cloud infrastructure (e.g., GCP, AWS, etc.) in a cost-efficient manner, optimizing storage, compute, and data transfer costs.
• Design, implement, and optimize scalable data pipelines using Airflow, Trino, Iceberg and Spark on Kubernetes in a GCP / AWS environment.
• Debug and resolve performance bottlenecks, ensuring the reliability and efficiency of the platform.
• Implement best practices in data architecture, ensuring data quality, governance, and security.
• Collaborate with Data Science teams to deliver data solutions for projects related to search and recommendation, pricing optimization, and inventory management.

WHAT  WILL YOU BRING TO THE TEAM

• Bachelor or Master degree in Computer Science or a related technical discipline

Be familiar with:

• Search technologies and recommendation engines
• AWS, GCP data services
• Basic machine learning algorithms
• Experience with monitoring tools like Prometheus for application performance management.
• Experience with streaming tools like Kafka or Apache Flink

2. Be knowledgeable in:

• SQL, Python, and tools like Apache Airflow, Trino/Presto and Iceberg
• Large-scale distributed systems in Kubernetes and Cloud Infrastructure
• Hadoop, Spark and Pandas or similar processing engines
• Terraform for managing Cloud Infrastructure

3. Good to have:

• Proven experience with data architecture, data modeling, and ETL pipelines.
• Strong analytical and problem-solving skills, particularly in debugging and optimizing distributed systems.
• Excellent communication skills and a team-oriented mindset, with a passion for working in a collaborative, agile environment.
• Experience in optimizing multi-cloud infrastructure to achieve cost-efficiency and scalability.
   

ZALORA Engineering
ZALORA is the leading e-commerce company providing fashion throughout South East Asia. 
ZALORA engineering has teams across countries to serve millions of users in Malaysia, Singapore, Hong Kong, Taiwan, Indonesia, Philippines. This regional diversity presents a lot of interesting challenges that you and your colleagues will face. You will learn a lot by tackling these challenges.
ZALORA's e-commerce platform is built with love by the engineering team. The Ho Chi Minh office, Floor 2, Copac Square Building, 12 Ton Dan, District 4 (ZALORA Group) focuses completely on engineering and sets a high standard for software development in the field of e-commerce. This team creates the tech stack that powers ZALORA's stellar shopping experience. This ranges from the online shop and the mobile apps to ZALORA's complex logistics solutions.
The ZALORA Story
ZALORA is Asia’s leading online fashion, beauty and lifestyle destination, part of Global Fashion Group. As one of the region’s pioneer large-scale ecommerce platforms, ZALORA has established a strong presence throughout the region, particularly in Singapore, Indonesia, Malaysia, Brunei, the Philippines, Hong Kong, and in Taiwan, enjoying over 50 million visits per month.
ZALORA is not obligated to accept resumes from any third parties on behalf of potential candidates for any position (advertised or otherwise) by any means, unless ZALORA has executed a written agreement with such third party and has expressly requested such third party for candidate referrals. Third parties who provide unsolicited resumes of candidate(s) shall waive and forfeit all rights to claim for any placement fees or referral fees in the event that such candidate is event.