About the Client
Our client is one of the reputed MNC firms in Singapore
Responsibilities
- Provide technical vision and create roadmaps to align with the long-term technology strategy
- Create the target architecture for an application / set of applications with emphasis on platforms, reusability, scalability and security
- Work with stakeholders to define capabilities and principles for an application
- Work on governance aspects for the Data Analytics applications such as documentation, design reviews, metadata etc
- Document design ideas in well-crafted presentations and engage with stakeholders for their concurrence
- Review and help streamline the design for big data applications and ensure that the right tools are used for the relevant use cases
- Engage users to achieve concurrence on technology provided solution. Conduct review of solution documents along with Functional Business Analyst and Business Unit for sign-off
- Create technical documents (functional/non-functional specification, design specification, training manual) for the solutions. Review interface design specifications created by development team
- Participate in selection of product/tools via RFP/POC.
- Provide inputs to help with the detailed estimation of projects and change requests
- Execute continuous service improvement and process improvement plans
Skills/Requirement
Must have Skills:
- Degree in computer science/IT.
- 12+ years of experience with Data Architecture in the banking domain including implementation of Data Lake, Data Warehouse, Data Marts, Lake Houses etc
- Experience in data modeling for large scale data warehouses, business marts on Hadoop based databases, Teradata, Oracle etc for a bank
- Expertise in Big Data Ecosystem such as Cloudera (Hive, Impala, Hbase, Ozone, Iceberg), Spark, Presto, Kafka
- Experience in a Metadata tool such as IDMC, Axon, Watson Knowledge Catalog, Collibra etc
- Expertise in designing frameworks using Java, Scala, Python and creation of applications, utilities using these tools
- Expertise in operationalizing machine learning models including optimizing feature pipelines and deployment using batch/API, model monitoring, implementation of feedback loops
- Knowledge of report/dashboards using a reporting tool such as Qliksense, PowerBI
- Expertise in integrating applications with Devops tools
- Knowledge of building applications on MPP appliances such as Teradata, Greenplum, Netezza is a plus
- Domain knowledge of the banking industry include subject areas such as Customer, Products, CASA, Cards, Loans, Trade, Treasury, General Ledger, Origination, Channels, Limits, Collaterals, Campaigns etc
Interested candidates, who wish to apply for the above position, please send in your resume to [email protected]
We regret to inform that only shortlisted candidates will be contacted
PERSOLKELLY Singapore Pte Ltd
EA License No. 01C4394
EA Registration No. R1547247
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