Data Engineer (Python / SQL / AWS) #10480
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Summary
Data engineer at a marine equipment wholesaler in Tuas West, Singapore, building and maintaining ETL/ELT pipelines for time-series sensor data from shipboard machinery using Python, SQL, and AWS (S3, RDS, Lambda, Glue), plus supporting APIs and backend services for AI/ML and web platforms.
Job Description
- Industry/ Organization Type: Marine Equipment Wholesaler
- Position Title: Data Engineer (Python / SQL / AWS)
- Working Location: Tuas West
- Working Hours: 5 days (Mon - Fri, 9:00 AM - 5:30 PM (One Sat per month, 9:00 AM - 12:00 PM))
- Salary Package: Basic Salary + Bonus
- Duration: Permanent Role
- Support the data engineering team in developing and maintaining data pipelines for equipment performance monitoring and remote monitoring applications.
- Assist in collecting, cleaning, transforming, and processing time-series sensor data from shipboard machinery.
- Develop and test ETL/ELT processes to ensure reliable data collection, storage, and retrieval.
- Support AWS cloud services, including S3, RDS, Lambda, and AWS Glue.
- Assist with database operations, SQL queries, data validation, and 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.
- Monitor data pipelines, troubleshoot issues, and improve data processing efficiency with guidance from the team.
- Prepare technical documentation, test reports, and data processing procedures.
- Work closely with data engineers and other team members on projects and technical tasks.
- Perform other ad-hoc duties as assigned.
- Diploma or Degree in Computer Science, Data Engineering, Data Science, IT, or related fields.
- Strong Python and SQL skills for databases, data processing, and API development.
- Knowledge of ETL/ELT pipelines, data integration, transformation, and database optimisation.
- Hands-on experience with pandas, NumPy, and MySQL or PostgreSQL.
- Familiarity with AWS S3, RDS, Lambda, and Glue through academic, internship, or personal projects.
- Able to use AI coding tools (Claude Code, Codex, Cursor) with proper code review and testing.
- Familiar with Linux, Git, and basic scripting.
- Knowledge of real-time data pipelines, Docker, Apache Airflow, or data streaming is an advantage; training provided.