Data Engineer (AWS, Databricks)
7000 - 8000 SGDNTT Singapore Pte Ltd
Role and Responsibilities
Operational 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 / Qualifications
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, DataFrames, 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
• DataRobot 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
Desirable Requirements:
• AWS certification (Associate or Professional level) - highly preferred • Exposure to hospital information/clinical systems is an added advantage
• Understanding of DevOps practices and CI/CD pipelines for Databricks based data engineering projects
5000 - 7500 SGD
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