Data Engineer (Remote 远端工作制）

Carro is on a mission to redefine what car ownership is, and transform the way that people and businesses across Asia interact with one another to get the cars they need. Our digital platforms are game-changers in the automotive trading industry, seamlessly integrating the buying and selling user journeys for speed, efficiency, and transparency. 

Since 2016, Carro has continually disrupted the existing business models and practices within the automotive trading industry, launching numerous market-first services, and grown to more than 800 people across 4 countries in Southeast Asia. Our platform serves nearly every need that car owners have, and does it in a more tech-enabled, efficient, and delightful way. Today, Carro transacts more than $1Bn in cars annually, and has won numerous industry awards for innovation and marketing excellence.

You’ll be working closely with our team of Data Scientist, Data Analyst, Software Engineers and Product Managers to sift out unusual data patterns. You will be responsible for design, develop, build, test, maintain and constant improvement of our data architectures.

What you will be doing:

• Ownership of designing, developing, building, testing and maintaining our next generation data ETL platform
• Champion the effort to continuously improving the efficiency and flexibility of the platform and services
• Build highly-reusable components across the platform
• Pinpoint and clarify key issues that need action, lead the response and articulate results clearly in actionable form.
• Show a strong aptitude for carrying out solutions and translating objectives into a scalable solution that meets end customers’ needs within deadlines.
• Troubleshooting and debugging to optimise the performance
• Write scripts to process structured and unstructured data.
• Take charge to proactively recommend and deploy methods to improve our data reliability, quality and efficiency

What you will need: 

• Bachelor in Computer Science  or any quantitative discipline
• At least 4 years of hands-on working experience in data/software engineering in a highly scalable production environment
• At least  2+ years of expertise in designing, implementing large scale data pipelines for data curation, feature engineering and machine learning, using Spark in combination with pySpark, Java, Scala or Python; either on premise or on AWS
• Good knowledge of architecting large-scale data infrastructure in the cloud platform Good knowledge of Big Data technologies like Hadoop,Hive,Spark or other real-time streaming
• Good knowledge of server-side programming languages (preferably Python,R), and Javascript.
• Hands-on experience in DevOps tools like Docker and Kubernetes is advantageous 
• Excellent communication skills (oral, written and presentation skills) to work with various stakeholders (technical and non-technical) including presentation of insights reports to business/product owners
• Experience working with a product-based organization, e-commerce, automotive is advantageous
• Last but not least, you love cars and maybe even more than us!

• 週休二日
• 特別休假 14 天
• 醫療補貼