Requirements
· 5+ years of experience in software engineering or DevOps automation or data engineering
· Excellent understanding of software engineering principles and design patterns.
· Excellent programming skills in either Python or Java.
· Hands-on experience in containerization/ virtualization platforms, e.g. Docker/Kubernetes.
· Exposure to data science and machine learning technologies and methodologies.
· Good working knowledge of high performance computing, parallel data processing, and big data stack, e.g. Spark and Hadoop/Yarn.
· Experience to one or more commercial / open source data warehouses or data analytics systems, e.g. Teradata, is a big plus.
· Experience to one or more NoSQL databases is a big plus.
· Experience or Cloudera Data Science Workbench, is a big plus.
