Data Engineer (Python / SQL / AWS) #10480

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

Key Responsibilities

• 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.

APPLY NOW!!!

• 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.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to [email protected]. Please indicate #10480 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

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