Employment Information
Data Engineer
Job level | Experienced (Non - Manager) |
Salary | $ Competitive |
Deadline to apply | 24/11/2024 |
Industry | Banking , IT - Software , IT - Hardware / Network |
Experience | Over 4 Years |
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 4+ 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
Similar jobs