Data Engineer (Python / SQL / AWS) #10480

ANRADUS PTE. LTD.; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

ANRADUS PTE. LTD. invites applications for a Data Engineer role based in Tuas West, Singapore. You will help build and maintain data pipelines for equipment performance monitoring using Python, SQL, and AWS.

You will work with time-series sensor data from shipboard machinery, develop ETL/ELT processes, support AWS services, and collaborate with the data team on APIs and backend services.

This is a permanent, full-time position with a basic salary plus bonus.

Qualifications

• Diploma or Degree in Computer Science, Data Engineering, IT, or related fields.
• Strong Python and SQL skills for databases and API development.
• Knowledge of ETL/ELT pipelines and data integration.
• 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 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.

Responsibilities

• Develop and maintain data pipelines for equipment performance monitoring.
• 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 guidance.
• Support the development and testing of APIs and backend services using Python and SQL for AI/ML apps.
• Monitor data pipelines, troubleshoot issues, and improve data processing efficiency.
• Prepare technical documentation, test reports, and data processing procedures.
• Work closely with data engineers and other team members on projects and tasks.
• Perform other ad-hoc duties as assigned.

Skills

Python

SQL

ETL/ELT

Pandas

NumPy

MySQL

PostgreSQL

AWS

AI coding tools

Linux

Git

Scripting

Education

Diploma / Degree in CS / Data Eng / IT

Tools

Pandas

NumPy

MySQL

PostgreSQL

Docker

Apache Airflow

Job description

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.

Qualifications

• 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.