| Company Name | Singapore Telecommunications Ltd |
|---|---|
| Company UEN | 199201624D |
Build and maintain data ingestion pipelines for batch and streaming data sources using tools like Databricks and Kafka Perform data transformation and cleansing using PySpark or SQL based on business and technical requirements Monitor and troubleshoot data workflows to ensure data quality and pipeline reliability Work closely with senior data engineers to understand platform architecture and apply best practices in pipeline design Assist in integrating data from diverse source systems (files, APIs, databases, streaming) Help maintain metadata and pipeline documentation for transparency and traceability Participate in integrating pipelines with tools such as Microsoft Fabric, Databricks, Delta Lake, and other platform components Contribute to automation efforts using version control and CI/CD workflows Apply basic data governance and access control policies during implementatio
Bachelor’s degree in Computer Science, Engineering, or a related field 1–3 years of experience in data engineering or data platform development Proven ability to independently build basic batch or streaming data pipelines Hands-on experience with Python and SQL for data transformation and validation Familiarity with Apache Spark (especially PySpark) and large-scale data processing concepts Self-starter with strong problem-solving skills and a keen attention to detail Able to work independently while collaborating effectively with senior engineers and other stakeholders Strong documentation and communication skills.
| Job Title | Data Engineer |
|---|---|
| Salary | SGD0.00 - 0.00 |
| Employment Type | Full Time |
| Working Experience | 2 Years |