Quantexa Data Architect at Capgemini
Singapore, , Singapore -
Full Time


Start Date

Immediate

Expiry Date

11 Nov, 25

Salary

0.0

Posted On

11 Aug, 25

Experience

8 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Analytics, Scala, Elasticsearch, Spark, Shell Scripting, Data Architecture, Management Skills, Data Modeling, Leadership, Logstash, Financial Services, Cassandra, Sql, Public Sector, Computer Science, Python, Fraud Detection, Qlik Sense, Tableau, Asset Management

Industry

Information Technology/IT

Description

JOB DESCRIPTION

We are seeking a highly skilled and experienced Quantexa Data Architect to lead the design and implementation of advanced data solutions leveraging the Quantexa platform. The ideal candidate will possess deep expertise in data engineering, entity resolution, and graph analytics, with a proven track record of delivering scalable solutions across financial services, public sector, and RegTech domains.

JOB REQUIREMENTS

  • Bachelor’s degree in Information Technology, Computer Science, or a related field.
  • 8+ years of experience in data architecture, engineering, and analytics.
  • Quantexa Certified Data Engineer and Business Analyst.
  • Strong proficiency in Scala, Spark (including PySpark), Kafka, Flink, and AWS services.
  • Experience in graph and network analytics, entity resolution, and fraud detection.
  • Hands-on experience with visualization tools such as Qlik Sense, Tableau, Grafana.
  • Familiarity with SQL (PostgreSQL, MS SQL Server, Oracle DB) and NoSQL databases (Cassandra, DynamoDB).
  • Knowledge of Kubernetes/OpenShift, ElasticSearch, and Logstash.
  • Excellent communication, leadership, and stakeholder management skills.

PREFERRED SKILLS:

  • Experience in financial services, asset management, public sector, or RegTech.
  • Background in Agile and Waterfall project delivery methodologies.
  • Ability to design business and reporting architectures and conduct functional testing.
  • Proficiency in Python, Shell scripting, and data modeling.
Responsibilities

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