Job Description

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.

Requirements:

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.

HOW TO APPLY:

Interested applicants, kindly click on APPLY NOW or send your resume in MS WORD format to hestia.wong(at)trustrecruit.com.sg

We regret only shortlisted candidates will be notified.

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EA License No: 19C9950

EA Personnel: Wong Ying Huan (Hestia)

EA Personnel Reg No: R24122431