Job Description
- Degree in Information Technology, Computer Science, Statistics, Applied Mathematics, Business Analytics, or equivalent quantitative fields preferred.
- Min 2 years' experience in building and optimizing 'big data' data pipelines, architectures and datasets .
- Skillset:
- Proficient programming skills in Python, SQL/Scala.
- Experience in ETL and/or data wrangling tools for big data environment.
- Good working experience in big data technologies such as Apache Spark, Hive, Hadoop, KAFKA and Linux.
- Experience in using ADA platform is big plus.
- Knowledgeable on structured and unstructured data design/ modelling, data access and data storage techniques.
- Self-motivated and a desire to learn and develop professionally.
- Good communication skills (both oral and written).
- Ability to work in a team and under pressure.
- This role is accounta...
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