DATA ENGINEER
Summary
An experienced data engineer (8+ years) in Singapore who designs, builds, and maintains enterprise data pipelines and architectures, covering batch and real-time processing, ETL, and cloud data platforms to ensure data availability, quality, and security for analytics. Core stack includes Python/SQL, tools like Airflow/Talend/Informatica, and platforms such as Azure Data Factory, Databricks, Snowf
We're Hiring: Data Engineer!
We are looking for an experienced and innovative Data Engineer to join our team in Singapore. The ideal candidate will have at least 8 years of hands-on experience designing, building, and maintaining robust data pipelines and architectures. You will play a key role in supporting our analytics initiatives and ensuring data availability, quality, and security across the organization.
Location: Singapore, Singapore
Work Mode: Work from Office
Role: Data Engineer
- Bachelor’s degree in Computer Science, Data Science, Statistics, or a related field.
- At least 8 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 (Power BI, Tableau, etc.).
- Related industry experience is a plus.