Data Engineer (IT/ Marine Engineering/ Tuas)
Posted
Summary
Junior data engineer in Tuas, Singapore, assisting the team with data pipelines that collect and process time-series sensor data from shipboard machinery. Day-to-day involves ETL/ELT development, SQL database work, AWS services (S3, RDS, Lambda, Glue), and Python/SQL APIs for AI/ML and web platforms.
Location: Tuas West Rd MRT
Working hrs: Mon - Fri, 9am - 5.30pm
Key Responsibilities:- Assist the data engineering team in developing and maintaining data pipelines for DRUMS and remote monitoring applications.
- Support the collection, cleaning, transformation, and processing of time-series sensor data from shipboard machinery
- Assist in developing and testing ETL/ELT processes for reliable data ingestion, storage, and retrieval.
- Work with the team to support AWS cloud services, including S3, RDS, Lambda, and AWS Glue.
- Assist with database operations, SQL queries, data validation, and data quality checks under the guidance of senior team members.
- Support the development and testing of APIs and backend services using Python and SQL for AI/ML applications and web platforms.
- Help monitor data pipelines, troubleshoot issues, and improve data processing efficiency with guidance from the team.
- Assist in preparing technical documentation, test reports, and data processing procedures.
- Collaborate with other data engineers and team members on ongoing projects and technical tasks.
- Perform other duties and ad-hoc assignments as directed by the team lead and department manager.
- Degree / Diploma in Computer Science, Data Engineering, Data Science, IT, or a related field.
- Strong Python skills and good working knowledge of SQL for database management, data processing, and API development.
- Understanding of data engineering fundamentals, including ETL/ELT pipelines, data integration, data transformation, and database optimization.
- Hands‑on experience with pandas, NumPy, and SQL databases such as MySQL or PostgreSQL.
- Familiarity with AWS cloud services, particularly S3, RDS, Lambda, and AWS Glue, gained through coursework, FYP, internships, or personal projects.
- Able to use AI coding assistants (e.g. Claude Code, Codex, Cursor) effectively to speed up development, while reviewing and testing generated code rather than accepting it blindly.
- Comfortable working with Linux, Git, and basic scripting.
- Basic understanding of real‑time data pipelines, Docker, Apache Airflow, or data streaming technologies is an advantage; training will be provided.