Techcombank

About the job A. Job Responsibilities: 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

B. Job Requirements:

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