Role: Data Engineer
Industry: Business to Consumer, B2C, Mobility, Lifestyle, E-commerce, Retail, Mobile, Web
About Our Client
Our client is an established organisation impacting the lives of millions of people from around the world. They are embarking on an exciting digital transformation which will impact the lifestyle of people with a direct and personable user experience. Our client has ambitious plans which involve a newly carved organisation using the latest technology within Mobility, Cloud, Data Science, ML and AI. This role will play a crucial part in forming the data structure and data pipelines throughout the complex and data rich organisation.
About the Data Engineer:
You will Design, develop, and implement data infrastructure (both cloud and on-premise) and pipelines to facilitate data ETL and data usage, feeding into data science and analytics processes and tools.
Design and implement Extract, Transform, and Load processes that occur within the data pipeline.
Adopt best practices for data ingestion, processing and management, and continually improve the system through innovation and testing.
Work closely with the Data Science team to deliver on the data team’s overall business objectives and KPIs.
Propose and define KPIs around data engineering, and perform accordingly to the KPIs.
Communicate changes in data availability and quality, and their accompanying business implications to other functional teams.
Bachelor's or Master's degree in Computer Science, Engineering, or equivalent fields.
Experience in developing and maintaining data ETL pipelines. Familiarity with cloud infrastructure is a plus.
Well-versed with cloud storage architecture, relational and non-relational databases.
Proficiency in data engineering related languages such as SQL and Python.
A strong team player with solid communication skills; able to communicate effectively with cross-functional teams.
A growth-oriented mindset and innovative spirit, able to adapt quickly to the situation, and perform continuous improvement.
An innovative spirit that drives you to constantly optimize workflows, processes and strategies to drive improved business outcomes for the data team.
If you are interested to learn more about the above job role or are looking to transition into this role, please feel free to send your CV to:
+65 6589 8787
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