System Analyst (Big Data/Compliance/AI Machine Learning)
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Summary
A senior (10+ years) system analyst role in Singapore supporting enterprise big data and compliance platforms: gathering requirements, writing functional/technical specs and data mappings, evaluating big data platform options (Cloudera/Hadoop/Spark/Kafka), coordinating with infra teams and vendors, and supporting production troubleshooting and releases, with Generative AI/ML exposure valued.
Requirements:
Must Have
•10+ years of IT experience as System Analyst, Data Platform Analyst, Solution Designer, or Technical Lead supporting enterprise applications
•Strong SQL and data analysis skills
•Ability to read and understand Unix/Linux scripts, Python or Java code for troubleshooting and impact assessment purposes
•Hands-on development experience is advantageous but not mandatory
•Exposure to Generative AI, AI-assisted development tools or ML platforms would be advantageous.
•Experience working with Big Data or Data Platform environments such as Cloudera CDP, Hadoop, Spark, Hive, Kafka, Data Lake or similar technologies
•Ability to evaluate solution options and understand platform capabilities, limitations, scalability and operational considerations
•Experience coordinating with infrastructure teams, application teams, external vendors and technology partners throughout project delivery lifecycle
•Experience supporting production systems, troubleshooting complex incidents and driving root cause analysis activities
•Strong experience in requirements analysis, functional specification, technical specification, data mapping and process mapping
Good to Have •Experience with Cloudera CDP ecosystem (Hive, Spark, Impala, Kafka, NiFi, Ranger, Atlas, Ozone) •Experience supporting AML, Compliance, Risk Monitoring, Name Screening or Transaction Monitoring platforms •Understanding of distributed systems, data lake and big data architectures •Familiarity with infrastructure concepts including networking, firewall connectivity, load balancing, HA/DR and capacity planning •Experience working with HPE, Cloudera or similar platform vendors •Familiarity with Control-M, JIRA, SharePoint, Confluence and DevOps tools •Experience with release management, SIT, UAT and production deployment activities
Key Domain •Experience in Compliance •Experience in AI Machine Learning •Experience in Application Development, Code Deployment, System Implementation and Integration
Good to Have •Experience with Cloudera CDP ecosystem (Hive, Spark, Impala, Kafka, NiFi, Ranger, Atlas, Ozone) •Experience supporting AML, Compliance, Risk Monitoring, Name Screening or Transaction Monitoring platforms •Understanding of distributed systems, data lake and big data architectures •Familiarity with infrastructure concepts including networking, firewall connectivity, load balancing, HA/DR and capacity planning •Experience working with HPE, Cloudera or similar platform vendors •Familiarity with Control-M, JIRA, SharePoint, Confluence and DevOps tools •Experience with release management, SIT, UAT and production deployment activities
Key Domain •Experience in Compliance •Experience in AI Machine Learning •Experience in Application Development, Code Deployment, System Implementation and Integration