We are seeking a highly skilled Data Engineer to design, build, and continuously enhance our enterprise data and BI platform. In this role, you will be responsible for end-to-end data architecture, data modeling, ETL pipelines, analytics, and visualization, enabling data-driven decision-making across the organization. If you are keen to apply for the role, please share your updated resume with [Confidential Information]
Job Requirements
- Bachelor's degree in Computer Science, Data Science, Statistics, or a related field.
- At least 3 years working experience in data platform, data analytics or relevant projects.
- Proven experience as a Data Engineer, with design and managing enterprise data architecture, including batch and real time processing.
- Solid programming skills in languages such as Python, SQL, SAS, or R for data analysis and data engineering tasks.
- Prior experience as a Data Engineer, with a demonstrated ability to design and implement data models, ETL processes, and data integration solutions.
- Proven experience in at least one major data processing tool (Informatica, Kettle, Talend, Airflow, Dolphin etc).
- Prior experience with cloud-based data platforms (e.g., Azure Data Factory, Azure Purview, Databricks, Snowflake, Kafka, or equivalent) and data storage technologies (e.g., SQL/NoSQL, Vector and Graph etc).
- Excellent problem-solving skills and the ability to work with large, complex data sets.
- Strong attention to detail, ensuring data accuracy and reliability in all analyses.
- Effective communication skills to convey complex technical concepts to non-technical stakeholders.
- Proven ability to work independently as well as collaboratively in a fast-paced, team-oriented environment.
- Prior experience of AI technology stack is a great plus.
- Prior experience in at least one BI tool (Tableau, PowerBI etc) is a plus.
- Related industry experience is a plus.
Only Singaporeans and PR's are preferred .
