Data Engineer (Python/scala/spark)

• Lead the team technically in improving scalability, stability and efficiency of our Data platform

• Design, build and deploy new libraries and frameworks for our core systems while keeping highest standards of code quality

• Cooperate with other engineers and Product owners to identify and build incremental products through Scrum sprint

• Understand the following technologies and navigate them properly: Python, Scala, Spark, SQL etc.

• Collaborate with the Data Architect team on regular basic to design/review data models, and application architectures

• Maintain software clean architecture, clean code, and high quality.

• Participate in code reviews, pair programming, mob programming, and coaching other members

1. Must have:

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, Information Technology, or a related technical field

• English is required

• Have 5+ years of experience as a Data Engineer or Software Engineer

• Have experience in Cloud (AWS/Azure/GCP)

• Extremely proficient in at least 1 programming language (Python/Scala/Java)

• Strong experience in systems architecture – particularly in complex, scalable, and fault-tolerant distributed systems

• Good at multi-threading, atomic operations, computation framework: Spark (DataFrame, SQL, ...), distributed storage, distributed computing

• Understand designs of resilience, fault-tolerance, high availability, and high scalability, ...

• Tools: CI/CD, Gitlab, ...

• Good at communication & team working

• Being open-minded, willing to learn new things

2. Nice to have:

• Databricks is a plus

• Experience in performance tuning/optimizing Big Data programs