Data Engineer (Python/Scala/Spark)

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 3+ 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