MABASA / LINKEDIN
System Analyst (Cloudera / AI/ML / Data) - 1-year renewable contract
Evolution Singapore
- Location
- Singapore, Singapore
- Work type
- contract
- Source publication date
- Original publication date not confirmed
- Source closing date
- Not supplied — check original advert
Job description from the source
Dear Applicant, If you or someone you know is interested, please send the CV directly to **VeronicaE@evolutionjobs.sg** (preferred, as I may overlook some CVs due to the high volume). Please note that visa sponsorship is not available at this time. JD **Key Responsibilities:** * Own platform strategy, roadmap and service lifecycle management. * Provide technical leadership for Name Screening, Transaction Monitoring and Customer Risk Scoring platforms. * Lead architecture governance and ensure alignment with enterprise architecture standards. * Manage platform enhancements, BAU initiatives, model onboarding and regulatory changes. * Drive delivery across System Analysts, Technical Delivery Managers, Core Services and external vendors. * Oversee ETL engineering, data integration and data quality initiatives supporting MLS platforms. * Partner with Core Services on platform stability, capacity planning, DR readiness and technology refresh activities. * Support Pre\-ITC, Architecture Review, Security Review, ISRA and Project Governance activities. * Own vendor performance, technical direction and solution quality. * Act as escalation point for major incidents, platform risks and strategic initiatives. 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
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