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

• 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), cloud operations or cloud architecture

• Must be cloud certified (AWS)

• 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

• 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

Licence no: 12C6060

Senior Systems Engineer - L3 Operations (Data Analytics & AI) (Ref 26210a)