Data Engineer II

Job Description

Are you ready to take off and be part of the Allstar employee? Whether you’re applying for a developer, customer happiness or crew, at AirAsia we act as One AirAsia. If you are hungry to make a difference with one of the most well known low-cost airlines and to work in the dynamic technology hub, this is the job for you. AirAsia.com’s data team drives conversion, personalisation, and revenue growth across flights and other lines of business. We are looking for Allstars to join an innovative and dynamic team which works in tandem with product and tech. You will help develop the future models and tools to drive better decisions and growth.

What You’ll Do:

• Ensures the data integrity and quality. Improve internal processes through automation, optimization, and re-design.
• Support and work with cross-functional and multidisciplinary teams in a dynamic environment. Leverage data visualization tools and techniques to maximize impact and value of data.
• Manage external technical communication with partners and vendors. Contribute to improving data governance policies.
• Keep current with technical and industry developments.

About You: 

• BS/MS/PhD in IT, Mathematics, Science or Engineering discipline Up to 4+ yrs relevant experience beyond first degree
• Familiar with data ETL from a wide variety of data sources.
• Experience with SQL and NoSQL databases.
• Experience with pipeline and workflow management tools.
• Experience with various messaging and stream processing.
• Experience with object-oriented/object function scripting languages.
• Familiar with containerisation and orchestration tools.
• Familiar with Google Cloud Platform and its tools and services.
• Ability to work under pressure and change, and balance among speed, reliability, interpretability.
• Good working knowledge of productivity tools such as G Suite, Git, Jira, Confluence.
• Experience with code versioning, code review and documentation.
• Proficient understanding of distributed computing principles.
• Able to select and integrate big data tools and frameworks.
• Familiar or prone to adopt design thinking methods.
• Openness to experimenting with new techniques and new ways of working.