Job Description
1. Bachelor's degree in Computer or Computational Science, Computer Engineering, IT is
preferred.
2. 5-7 years IT experience including 2-3 years as a technical lead in a Big Data or Data
Warehousing Environment.
3. Significant depth of expertise and track record of accomplishments in multiple IT
technology areas.
4. Experience utilizing either of the following: Azure (Data Factory, Data Lake, Machine
Learning, SQL Warehouse, Data Bricks, Power BI), SAP Analytics (SAP Business
Warehouse, Business Objects)
5. Experience engineering data pipelines and logical data models that serve business
analytics and visualization tools such as PowerBI
6. Experience building algorithm, automation and deployment code using Python or Scala.
Familiarity with Spark is plus
7. Experience Optimizing Data Loads, Data Extractions, Queries and Stored Procedures
8. Experience working in a DevOps environment and using CI/CD, Version Control etc as
part of development process
9. Preferred: Experience working with Streaming data sources such as IoT, Clickstream etc
and building data analytic applications from event driven data sources
10. Preferred: Experience building and optimizing data pipelines for Machine Learning
Applications
11. Preferred: Experience in ML Ops processes and Kubernetes based model serving
12. Preferred: Certifications on Azure Cloud
13. Good to Have: The ability to read, write, and speak Mandarin or French