Senior Data Platform Engineer - Scalable Pipelines

motional singapore pte. limited

Singapore

On-site

SGD 80,000 - 120,000

Full time

4 days ago
Be an early applicant
Application generator

Turn this role into an interview — a resume and cover letter built around what this employer wants.

Get past ATS filters

Job summary

Motional Singapore Pte. Limited is seeking a data engineer to help design and operate our data platform. You will build scalable data pipelines, backend services for data discovery and lineage, and contribute to the core infrastructure used by ML and autonomy teams.

Requires 3+ years in data engineering, a CS degree, and strong Python and SQL skills, plus experience with AWS. You will thrive in fast-paced CD environments and collaborate with cross-functional teams.

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
Cloud platforms

Education

BS or MS in Computer Science

Tools

AWS

Job description

Motional Singapore Pte. Limited is seeking a data engineer to help design and operate our data platform. You will build scalable data pipelines, backend services for data discovery and lineage, and contribute to the core infrastructure used by ML and autonomy teams.

Requires 3+ years in data engineering, a CS degree, and strong Python and SQL skills, plus experience with AWS. You will thrive in fast-paced CD environments and collaborate with cross-functional teams.

Get your free, confidential resume review.

or drag and drop your file here.

Similar jobs

Similar jobs worth comparing

Senior Data Platform Engineer – Scalable Pipelines
Senior Data Platform Engineer – Scalable Pipelines

Motional • Singapore

On-site
SGD 90,000 - 120,000
Senior Data Platform Engineer Build Scalable Data Pipelines
Senior Data Platform Engineer Build Scalable Data Pipelines

MOTIONAL SINGAPORE PTE. LIMITED • Singapore

On-site
SGD 90,000 - 130,000
Senior Data Engineer: Build Scalable Data Pipelines
Senior Data Engineer: Build Scalable Data Pipelines

TALENTSIS PTE. LTD. • Singapore

On-site
SGD 70,000 - 110,000
Senior Data Engineer: Build Scalable Pipelines in the Cloud
Senior Data Engineer: Build Scalable Pipelines in the Cloud

Tap Growth ai • Singapore

On-site
SGD 120,000 - 190,000
Senior AI Data Engineer — Data Platform & Pipelines Lead
Senior AI Data Engineer — Data Platform & Pipelines Lead

jobline resources pte. ltd. • Singapore

On-site
SGD 90,000 - 180,000
Senior Big Data Platform Engineer - Scalable Pipelines
Senior Big Data Platform Engineer - Scalable Pipelines

Lever, Inc. • Singapore

On-site
SGD 140,000 - 200,000
Senior Data Engineer: Build Scalable Data Pipelines & ML
Senior Data Engineer: Build Scalable Data Pipelines & ML

minden.ai • Singapore

On-site
SGD 120,000 - 180,000
Senior Data Engineer - Pipelines, AWS & Spark
Senior Data Engineer - Pipelines, AWS & Spark

FPT Asia Pacific Pte Ltd • Singapore

On-site
SGD 120,000 - 180,000
Senior Data Engineer: Scalable Pipelines & Warehouses
Senior Data Engineer: Scalable Pipelines & Warehouses

TALENTSIS PTE. LTD. • Singapore

On-site
SGD 90,000 - 130,000
Data Engineer: Build Scalable Pipelines & Data Platforms
Data Engineer: Build Scalable Pipelines & Data Platforms

re-zoo-me • Singapore

On-site
SGD 60,000 - 100,000