Autonomous

Overview of job

Role Overview

We’re hiring a Senior Data Engineer to take end-to-end ownership of our data infrastructure on GCP, building scalable pipelines and analytics foundations that directly drive AI systems and business growth.

Responsibilities

• Design and maintain end-to-end data pipelines on GCP
• Work with BigQuery, Cloud Storage, Cloud Run, Pub/Sub, Cloud SQL
• Build ETL/ELT pipelines using Python and Apache NiFi
• Orchestrate workflows with Airflow and manage CI/CD via Jenkins
• Design data models optimized for analytics and reporting
• Work with NoSQL databases
• Build and support dashboards using Metabase and Looker Studio
• Ensure data quality, reliability, and scalability
• Support data needs for AI/ML and automation

Why you’ll love working here

• You be you.  We deeply care about helping everyone at Autonomous work on what they love, freely express their ideas within the organization, and grow to to their true potential.
• You be a better you.  Most of the time, you’ll be working on cutting edge technologies.  You’ll be constantly learning and improving your knowledge as an engineer, researcher or scientist.
• You are your own boss.  There is very little hierarchy at Autonomous.  Decision making processes are transparent and open to vote. We welcome all different ways of thinking and trust the people we work with to do what they do best. There is no micromanagement here.
• You the inventor.  Most of the time, you’ll find yourself working on a problem that doesn’t have a solution - yet. That’s where you come in.
• Solve problems for the world, not just Vietnam. Most of the problems we’re solving are for the global audience of today, and of tomorrow.

• Strong experience with Google Cloud Platform (BigQuery required)
• Advanced SQL skills
• Hands-on experience with Apache NiFi
• Experience with Airflow and Jenkins
• Strong Python for data engineering and ETL
• Experience with data modeling and NoSQL databases
• Experience with Metabase and/or Looker Studio

Nice to Have

• Basic JavaScript knowledge
• E-commerce experience
• Experience with large-scale or streaming data