About the Roles
Join a Marine Equipment Wholesaler as a Data Engineer (Python / SQL / AWS) based in Tuas West. This is a permanent position with a 5-day workweek, Monday to Friday, from 9:00 AM to 5:30 PM, plus one Saturday per month from 9:00 AM to 12:00 PM. The role offers a Basic Salary + Bonus and opportunities to work on data engineering projects involving equipment performance monitoring, AWS cloud services, and AI/ML applications.
What You’ll Be Doing
- Assist in building and maintaining data pipelines for equipment performance monitoring and remote monitoring applications.
- Collect, clean, transform, and process time-series sensor data from shipboard machinery.
- Build and test ETL/ELT processes to support accurate data collection, storage, and retrieval.
- Assist with SQL queries, database operations, data validation, and quality checks under senior team guidance.
- Support AWS cloud services, including S3, RDS, Lambda, and AWS Glue.
- Develop and test APIs and backend services using Python and SQL for AI/ML applications and web platforms.
- Monitor data pipelines, resolve technical issues, and enhance data processing efficiency with team support.
- Prepare technical documentation, test reports, and data processing procedures.
- Collaborate with data engineers and other team members on projects and technical assignments.
- Carry out other ad-hoc duties as assigned.
What We’re Looking For
- Diploma or Degree in Computer Science, Data Engineering, Data Science, IT, or related fields.
- Strong proficiency in Python and SQL for database management, data processing, and API development.
- Understanding of ETL/ELT pipelines, data integration, transformation, and database optimisation.
- Practical experience using pandas, NumPy, and MySQL or PostgreSQL.
- Familiarity with AWS S3, RDS, Lambda, and Glue gained through academic, internship, or personal projects.
- Ability to use AI coding tools (Claude Code, Codex, Cursor) with proper code review and testing.
- Familiarity with Linux, Git, and basic scripting.
- Knowledge of real-time data pipelines, Docker, Apache Airflow, or data streaming is an advantage; training provided.
Note for Applicants
- Only shortlisted candidates will be contacted, typically within 4 days.
- Applications can be made via the job portal or by emailing your resume (as an attachment) to enquiry@erast.com.sg with 3c3Ibz in the subject line.
Pay: $3,500.00 - $4,500.00 per month
License/Certification:
- permanent working rights with no restrictions in singapore (Preferred)
Work Location: In person