Senior Data Platform Engineer – Scalable Pipelines

Motional; Singapore; On-site; SGD 90,000 - 120,000; Full time

Job summary

Motional in Singapore is seeking a Data Platform Engineer to help design and build scalable data infrastructure that powers ML and autonomy engineering. You will contribute to data discovery, data lineage, and high-performance data processes handling massive data volumes.

You should have 3+ years in data engineering, strong Python/SQL skills, and solid AWS experience (EKS, Lambda, ETL) to thrive in a fast-paced, CD environment.

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

AWS

Data pipelines

Distributed systems

Cloud ETL

Code reviews

Education

BS/MS in Computer Science or related

Tools

EKS

Lambda

Job description

Motional in Singapore is seeking a Data Platform Engineer to help design and build scalable data infrastructure that powers ML and autonomy engineering. You will contribute to data discovery, data lineage, and high-performance data processes handling massive data volumes.

You should have 3+ years in data engineering, strong Python/SQL skills, and solid AWS experience (EKS, Lambda, ETL) to thrive in a fast-paced, CD environment.