Data Engineer

Responsibility

Extracts knowledge and insights from data in order to investigate complex business problems through a range of data preparation, modeling, analysis and/or visualization techniques, including predictive analysis, business intelligence, pattern recognition, operational effectiveness and/or economic forecasting. Key skills include data analysis techniques (e.g., A/B testing, association rule learning, cluster analysis, pattern recognition and predictive modeling), data analysis and visualization software (e.g., Domo, Looker, PowerBI, Qlik, Tableau, SiSense), object‑oriented programming languages (Java, Python, R, Ruby, Scala, C++) and/or data engineering skills (relational or NoSQL databases, ETL tools).

Why choose iZeno?

iZeno was founded in 2003 to provide enterprises with custom-built technology solutions they need to keep their business running seamlessly. Logicalis Asia, part of the Logicalis Group, a leading international IT solutions...