Data Engineer
2 weeks ago
**Responsibilities**:
- Expanding data collection as well as optimizing data pipelines for cross-functional teams
- Work closely with data analysts and business end-users to implement and support data platforms
- Tuning, troubleshooting and scaling identified big data technologies.
- Analyse, tackle and resolve day-to-day operational incidents related to data provision
- Build suitable tools to provide data through acquiring, monitoring and analyzing root cause of data issues
- Identify, design, and implement process improvements and tools to automate data processing with data integrity
- Work with data scientist and business analytics to assist in data ingestion and data-related technical issues
- Design, build and maintain the batch or real time data pipeline in production using big data technology
- Design, build and manage data warehouse such as designing data model
- Create data views from big data platform to feed into analysis engines or visualization engines
**Requirements**:
- Bachelor degree in Computer Science, Computer Engineering, Software Engineering or equivalent
- At least 2 years of relevant working experience in ETL/data integration and data modelling
- Experience with Data Engineering and Data Quality
- Cloud experience, ideally with Azure and AWS
- Understanding of Big data technologies like HDFS, Hive, Spark
- Experience of relational or NoSQL database (e.g. Oracle) and using database technologies (PL/SQL, SQL)
- Experience in data warehousing / distributed system
- Experience in data ingestion, cleaning and processing tools
- Experience in data acquiring, data processing using Scala/Python/Java
- Highly organized, self-motivated, pro-active, and desire to learn new technology
- Excellent communication and collaborative skills
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