Remote AI Data Platform Engineer: Real-Time Pipelines

BukuWarung; Indonesia; Remote; IDR 180,000,000 - 300,000,000; Full time

Job summary

BukuWarung is seeking a Remote AI/ML Data Engineer to design, build, and maintain scalable data pipelines for cutting-edge AI projects. You will work closely with data scientists and ML engineers to ensure high-quality data for modeling and deployment.

This fully remote role in Indonesia offers the chance to contribute to modern data architectures, data lakes, and warehouses, while ensuring data integrity, security, and compliance across distributed systems.

Qualifications

• Design and maintain scalable data pipelines for AI/ML workloads.
• Develop ETL/ELT processes and ensure data quality.
• Collaborate with data scientists and ML engineers.

Responsibilities

• Design, construct, install, test, and maintain highly scalable data management systems.
• Develop and optimize ETL/ELT processes for ingesting, transforming, and loading large datasets.
• Build and manage data lakes and data warehouses optimized for AI/ML workloads.
• Implement data quality checks and monitoring systems to ensure data integrity and accuracy.
• Collaborate with data scientists and ML engineers to understand data requirements and provide relevant datasets.
• Automate data pipeline operations and monitor performance for efficiency.
• Ensure data security and compliance with relevant regulations.
• Work with distributed computing frameworks like Spark and Hadoop.
• Contribute to the selection and implementation of appropriate data technologies and tools.

Skills

Data engineering

ETL workflows

Data pipelines

Distributed computing

Education

Bachelor's degree in Computer Science, Engineering, Information

Tools

Spark

Hadoop

Data Lakes

Data Warehouses

Job description

BukuWarung is seeking a Remote AI/ML Data Engineer to design, build, and maintain scalable data pipelines for cutting-edge AI projects. You will work closely with data scientists and ML engineers to ensure high-quality data for modeling and deployment.

This fully remote role in Indonesia offers the chance to contribute to modern data architectures, data lakes, and warehouses, while ensuring data integrity, security, and compliance across distributed systems.