Databricks Data Engineer: ML Ops & Platform Modernization

Epergne Solutions; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Epergne Solutions in Singapore seeks a Data Engineer to join the team and accelerate the migration of legacy data pipelines to Databricks Delta Lake. You will help implement robust operational frameworks and ensure seamless integration with healthcare information systems and clinical data workflows.

The role involves leading critical projects, mentoring junior engineers, and collaborating with infrastructure and compliance teams to optimize real-time analytics and ML operations on the Databricks

Qualifications

• Minimum 5 years in system operations, compliance and management roles.
• Hands-on AWS platform experience is required.
• Experience migrating ETL pipelines to Databricks Delta Lake is preferred.

Responsibilities

• Monitor and maintain production data pipelines with 99.9% uptime.
• Implement logging, alerting, and monitoring systems.
• Lead migration of legacy ETL to Databricks Delta Lake architecture.
• Mentor junior team members and share knowledge.

Skills

Databricks

Spark

Monitoring

Cloud cost control

ML Ops

Education

Bachelor's degree in Computer Science or Computer Engineering

Tools

AWS

SageMaker

Oracle

Databricks tooling

Job description

Epergne Solutions in Singapore seeks a Data Engineer to join the team and accelerate the migration of legacy data pipelines to Databricks Delta Lake. You will help implement robust operational frameworks and ensure seamless integration with healthcare information systems and clinical data workflows.

The role involves leading critical projects, mentoring junior engineers, and collaborating with infrastructure and compliance teams to optimize real-time analytics and ML operations on the Databricks