Senior Data Platform Engineer Build Scalable Data Pipelines

MOTIONAL SINGAPORE PTE. LIMITED; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

Motional Singapore Pte. Limited is seeking a data engineer to join the Data Platform team. You will help architect and operate core services that transform petabytes of raw data into actionable insights for ML and Autonomy engineers.

You will design scalable data infrastructure, build backend services for data discovery and lineage, and contribute to high-quality code reviews in a fast-paced CD environment. This role collaborates with ML and autonomy stakeholders to empower data-driven decisions.

Qualifications

• 3+ years of professional experience as a data engineer or data pipeline engineer.
• BS or MS in Computer Science or related field.
• Strong development experience with Python and SQL.
• Expertise with AWS services and solutions (EKS, Lambda, ETL).
• Experience with distributed system design and development.
• Comfortable working in a fast-paced, continuous delivery environment.

Responsibilities

• Play a key role in designing and building the next generation of data infrastructure.
• Build scalable backend services for data discovery and data lineage systems.
• Write high quality, maintainable code to process petabytes of data.
• Lead and champion high-level system design and quality code reviews/technical contributions.
• Design, build, and maintain scalable data processing and access with cloud ETL technology.

Skills

Python

SQL

Distributed Systems

Data Pipelines

Cloud ETL

AWS

Education

Bachelor's or Master's in Computer Science

Tools

AWS

EKS

Lambda

ETL

Job description

Motional Singapore Pte. Limited is seeking a data engineer to join the Data Platform team. You will help architect and operate core services that transform petabytes of raw data into actionable insights for ML and Autonomy engineers.

You will design scalable data infrastructure, build backend services for data discovery and lineage, and contribute to high-quality code reviews in a fast-paced CD environment. This role collaborates with ML and autonomy stakeholders to empower data-driven decisions.