Capital Markets Application Support Analyst (AWS/Python)

Crédit Agricole CIB

Singapore

On-site

SGD 60,000 - 90,000

Full time

12 hours ago
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Job summary

Crédit Agricole Corporate and Investment Banking (Crédit Agricole CIB) in Singapore seeks an Application Support Analyst for its Capital Market IT (CMI) department. You will support Capital Market applications, serve as a liaison between business and IT, and help run processes for incidents, problems and changes.

The role involves monitoring data pipelines, automation basics, and collaboration across teams.

Qualifications

  • Bachelor’s degree in Computer Science, IT, Engineering or related major.
  • 1–3 years in application support, IT operations or data-related roles.
  • ItIL knowledge and ability to follow ITIL processes.

Responsibilities

  • Provide L1/L2 application support for AWS and Big Data-based applications.
  • Monitor health, batch jobs and data pipelines; troubleshoot via logs and SQL.
  • Resolve incidents with root-cause analysis and proactive workarounds.
  • Act as bridge between IT and business stakeholders with timely updates.
  • Develop basic automation with Python/Shell; assist testing and CI/CD.
  • Collaborate with dev, cloud, data and business teams to resolve issues.
  • Follow ITIL-based Run processes; maintain documentation and runbooks.

Skills

Linux/UNIX
SQL
Python
Shell scripting
ITIL knowledge
Stakeholder management
CI/CD familiarity

Education

Bachelor’s degree in Computer Science/IT/Engineering or related major

Tools

AWS
Spark/PySpark
Hadoop/Hive
Kafka
Airflow
Git/GitLab/Jenkins/Ansible
Confluence/Jira
Kubernetes/OpenShift
ELK/Grafana/Prometheus
SQL/Logs monitoring tools

Job description

Crédit Agricole Corporate and Investment Banking (Crédit Agricole CIB) in Singapore seeks an Application Support Analyst for its Capital Market IT (CMI) department. You will support Capital Market applications, serve as a liaison between business and IT, and help run processes for incidents, problems and changes.

The role involves monitoring data pipelines, automation basics, and collaboration across teams.

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