Cloud Data Engineer for ETL Pipelines & Data Quality (AWS)

Land Transport Authority (LTA); Singapore; On-site; SGD 70,000 - 100,000; Full time

Job summary

Land Transport Authority (LTA) is seeking a Data Engineer to own, build, and scale the data infrastructure powering analytics and applications. You will bridge hands-on pipeline development with AWS/Azure cloud architecture, collaborating across agile squads to promote data engineering best practices and CI/CD automation.

You will drive the data lifecycle from feasibility through ETL development and deployment, ensuring robust data quality, production health, and comprehensive documentation like

Qualifications

• Foundational data engineering concepts including data modelling and ETL/ELT pipelines.
• Proficiency in SQL; basic Python; cloud platforms such as AWS or Azure.
• Exposure to workflow orchestration tools and modern data stack tools; governance and CI/CD practices.

Responsibilities

• Own, build, and scale data infrastructure powering analytics and applications.
• Develop robust ETL processes and ensure long-term data quality and reliability.
• Maintain documentation like data dictionaries and operational manuals; support CI/CD practices.

Skills

SQL

Python

Data modelling

ETL/ELT pipelines

Education

Knowledge in Computer Science, Data Engineering, Software Engineering, Information Systems, or related field

Tools

AWS

Azure

Apache Airflow

dbt

Delta Lake

Power BI

Tableau

SHIP-HATS

Job description

Land Transport Authority (LTA) is seeking a Data Engineer to own, build, and scale the data infrastructure powering analytics and applications. You will bridge hands-on pipeline development with AWS/Azure cloud architecture, collaborating across agile squads to promote data engineering best practices and CI/CD automation.

You will drive the data lifecycle from feasibility through ETL development and deployment, ensuring robust data quality, production health, and comprehensive documentation like