System Analyst (Cloudera / AI/ML / Data) - 1-year renewable contract
evolution singapore- Posted 23 hours ago
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Job Description
Dear Applicant,
If you or someone you know is interested, please send the CV directly to [Confidential Information]
(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
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10+ years of IT experience as System Analyst, Data Platform Analyst, Solution Designer, or Technical Lead supporting enterprise applications
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Strong SQL and data analysis skills
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Ability to read and understand Unix/Linux scripts, Python or Java code for troubleshooting and impact assessment purposes
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Hands-on development experience is advantageous but not mandatory
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Exposure to Generative AI, AI-assisted development tools or ML platforms would be advantageous.
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Experience working with Big Data or Data Platform environments such as Cloudera CDP, Hadoop, Spark, Hive, Kafka, Data Lake or similar technologies
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Ability to evaluate solution options and understand platform capabilities, limitations, scalability and operational considerations
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Experience coordinating with infrastructure teams, application teams, external vendors and technology partners throughout project delivery lifecycle
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Experience supporting production systems, troubleshooting complex incidents and driving root cause analysis activities
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Strong experience in requirements analysis, functional specification, technical specification, data mapping and process mapping
Good to Have
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Experience with Cloudera CDP ecosystem (Hive, Spark, Impala, Kafka, NiFi, Ranger, Atlas, Ozone)
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Experience supporting AML, Compliance, Risk Monitoring, Name Screening or Transaction Monitoring platforms
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Understanding of distributed systems, data lake and big data architectures
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Familiarity with infrastructure concepts including networking, firewall connectivity, load balancing, HA/DR and capacity planning
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Experience working with HPE, Cloudera or similar platform vendors
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Familiarity with Control-M, JIRA, SharePoint, Confluence and DevOps tools
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Experience with release management, SIT, UAT and production deployment activities
More Info
Key Skills
ETL engineering
ML platforms
AI-assisted development tools
NiFi
Cloudera CDP
Generative AI
Ozone
