Who we are
Crédit Agricole Corporate and Investment Bank (Crédit Agricole CIB) is the corporate and investment banking arm of Crédit Agricole Group, world's 10th largest bank by total assets.
Our Singapore center is the 2nd largest IT setup (after Paris Head Office) for Crédit Agricole CIB's worldwide business. We work daily with international branches located in 30 markets by:
- Envisioning and preparing the Bank's futures information systems
- Partnering and supporting core banking flagships and transverse areas in their large scale development projects.
- Providing premium In-house Banking applications,
This unique positioning empowers us to bring our core banking business a sustainable competitive advantage on the market.
Summary of Position
This position is a technical L2 resource for all Big Data services in CACIB
- Provide support for all production support activities within the Big Data team in Singapore
- Accountable for the overall health and stability of the technical solutions within his scope
- Work with technical peers such as architects, peer experts and project teams on technology road maps and projects
- Work with L3/Service Manager to gain control over the scope of technical activities, develop best practices and gain knowledge over all aspects of support.
The Big Data team operates the RUN activities and delivers projects for its infrastructure scope covering all Big Data associated technologies.
Responsibilities
As a L2 resource of the team, he/she:
- Takes up technical tasks and also manages delegation for technical issues within the team,
- animates the team to encourage collaboration and sharing of best practices,
- supports new technologies and leverages them to provide consistency of service across streams,
- proposes service improvements for all Big Data services supported throughout the organization,
- documents, reviews, maintains and shares relevant technical information within the team
- provides technical knowledge, supports services both proactively and reactively to maintain the availability and reliability of system infrastructure in accordance to the SLA,
- works in line with policies based on LEAN-CA-CIB best practices,
- Actively engages during any high severity issue and drives for issue resolution.
- reviews technology changes to identify potential risks
As an experienced professional in Big Data Services, he/she:
- supports his/her team during diagnosis when technical issues rise in his/her scope of expertise,
- is aware of the global IT structure so that he/she anticipates interrelationships within the organization,
- engages with technical peer, Development team, Service managers, Architect and project teams on technology roadmap and projects,
- facilitates transformation projects and suggest future directions for new areas of improvement and change,
- guarantees the production readiness and license to operate of new projects and solutions
- is available and able to drive technically, any complex or high severity incidents that occur within the scope of their role
- actively engages to understand new technologies and technology trends and reviews them with a view to incorporating them into CACIB operations
- actively assists in identifying the most technical skilled candidates for open roles,
- technically coach and develop partner resources to improve quality and productivity.
Qualifications and Profile
5 to 8 years experience of Big Data / Data Platform Engineering in enterprise environments.
Strong hands-on experience with:
- Hadoop ecosystem (HDFS, YARN, MapReduce, HDP)
- Apache Kafka (high-throughput environments)
- Redis and MongoDB clusters
- OpenSearch / Elasticsearch
- Apache NiFi
- AWS EMR + good knowledge of AWS Cloud.
Strong expertise in Linux system administration and scripting (Shell/Python)
Experience with Kerberos, data security, and access governance
Proven experience in handling high-volume, low-latency systems (preferably payments/trading)
Work Schedule
- Work schedule is mainly focused to support Asia and EMEA (Paris) time zone; however, may have to support during non-office hours/weekends/public holidays for critical incidents or escalation as per the assigned on-call support requirements;
- Shift schedule is followed;
- Work Hours: 7AM to 4PM, or 2PM to 11PM, or 4PM to 1AM
