Data Engineer (Healthcare Sector)

NTT SINGAPORE PTE. LTD.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

NTT SINGAPORE PTE. LTD. seeks an experienced Data Operations Engineer to lead critical modernization projects, including Healthcare Data Analytics Platform migration and advanced analytics infrastructure for ML operations.

You will mentor junior team members and collaborate with infrastructure and compliance teams to ensure secure, scalable data workflows. The role focuses on Databricks, Spark, AWS, and MLOps, with an emphasis on reliability, cost control, and comprehensive operational

Qualifications

• Degree in Computer Science or Computer Engineering.
• Minimum 5 years in system operations/compliance/management.
• AWS project experience is a must and cloud certification.

Responsibilities

• Monitor and maintain production data pipelines with 99.9% uptime.
• Implement logging, alerting, and monitoring systems.
• Perform health checks on performance and resource utilization.
• Manage incident response and post-incident reviews.
• Maintain disaster recovery and backup strategies for Databricks assets.
• Tune Spark jobs and cluster configurations for cost and efficiency.
• Maintain runbooks and troubleshooting guides.
• Coordinate maintenance windows and upgrades with minimal business impact.
• Manage user access and security policies in application environments.

Skills

Databricks

Apache Spark

AWS

Monitoring

Data warehousing

MLOps

Cloud cost control

Documentation

Education

BSc in CS/CE

Tools

Databricks

Tableau

Oracle DB

IDMC

SageMaker

Data Robot

Job description

Position Summary
The role involves working on critical projects including the Healthcare Data Analytics Platform modernization and advanced analytics infrastructure supporting machine learning operations. The position holder will be expected to mentor junior team members.

Key projects include migrating existing ETL processes from traditional data warehouse systems to Databricks Delta Lake architecture, implementing real-time streaming analytics for clinical monitoring systems. The role requires close collaboration with infrastructure teams, compliance officers.

Role and Responsibilities

• Monitor and maintain production data pipelines to ensure 99.9% uptime and optimal performance
• Implement comprehensive logging, alerting, and monitoring systems using Application monitoring tools
• Perform regular health checks performance, job execution times, and resource utilization to identify and resolve bottlenecks proactively
• Manage incident response procedures for pipeline failures, including root cause analysis, resolution, and post-incident reviews
• Establish and maintain disaster recovery procedures and backup strategies for critical data assets within the Databricks environment
• Conduct regular performance tuning of Spark jobs and Databricks cluster configurations to optimize cost and execution efficiency
• Maintain comprehensive documentation for operational procedures, runbooks, and troubleshooting guides
• Coordinate scheduled maintenance windows and system upgrades with minimal business impact
• Manage user access controls, workspace configurations, and security policies within Application environments
  

Requirements

Education & Experience

• Degree in Computer Science or Computer Engineering
• Minimum 5 years working experience in system operations compliance and management areas
• Project hands-on experience specifically with AWS platform (primary requirement)
• Project experience in cloud operations or cloud architecture
• Must be cloud certified (AWS)

Core Technical Skills

• Proficiency in Databricks platform, including workspace management, cluster configuration, and job orchestration
• Strong expertise in Apache Spark within Databricks environment, including Spark SQL, Data Frames, and RDDs
• Good in-depth understanding of data warehouse concepts, data profiling, data verification and advanced analytics techniques
• Strong knowledge of monitoring, incident management, and cloud cost control

Technology Stack Experience

• Databricks
• AWS cloud services and architecture
• IDMC (Informatica Data Management Cloud)
• Tableau for data visualization
• Oracle Database management
• ML Ops practices within Databricks environment
• STATA for statistical analysis is advantage
• Amazon SageMaker integration with Databricks
• Data Robot platform integration

Soft Skills & Stakeholder Management

• Good interpersonal skills with the ability to work with different groups of stakeholders
• Strong problem-solving skills and ability to work independently in a fast-paced environment with minimal supervision
• Excellent communication skills for technical documentation and cross-team collaboration