Data engineering manager at United Overseas Bank (UOB) in Singapore who delivers IT solutions to the bank by building batch and real-time data pipelines on the Hadoop ecosystem (Spark, Kafka, Iceberg, Flink, Trino), developing internal tools with Python/Flask/React, and operationalizing ML models with data scientists on Cloudera ML.
Company: 1011 United Overseas Bank Ltd
About UOB
United Overseas Bank Limited (UOB) is a leading bank in Asia with a global network of more than 500 branches and offices in 19 countries and territories in Asia Pacific, Europe and North America. In Asia, we operate through our head office in Singapore and banking subsidiaries in China, Indonesia, Malaysia and Thailand, as well as branches and offices. Our history spans more than 80 years. Over this time, we have been guided by our values – Honorable, Enterprising, United and Committed. This means we always strive to do what is right, build for the future, work as one team and pursue long-term success. It is how we work, consistently, be it towards the company, our colleagues or our customers.
Job Description
Candidate will work with project team members, including external vendors, to deliver IT solutions to bank's end-user. The solution scope involves Application setup, design and development to enhance the bank's operation readiness and financial prowess. Forward looking and agile to adapt to changing bank's needs and dynamic working environment.
Candidate will work closely with IT and Business stakeholders to understand business needs and work collaboratively to deliver solutions.
Build robust data ingestion and transformation frameworks using Java, Spark, Python, and shell scripting for ingesting multi model data(image, audio, video, unstructured documents) with both batch and real-time.
Design and develop highly scalable, Real time systems using Hadoop ecosystem components(Iceberg, Spark, Ozone, Trino, Hive, Ranger, Kafka, Flink and Nifi)
Develop full stack applications and internal engineering tools using Python, shell scripting, and modern web frameworks (e.g., Flask, React).
Collaborate closely with data scientists to operationalize machine learning models using Cloudera Machine Learning (CML).
Perform performance tuning and optimization of data applications on Hadoop to ensure optimal resource utilization.
Job Requirement
Degree in computer science or a related disciplines.
Strong hands on experience with Hadoop ecosystem (Hive, Impala, Spark, Kafka, Iceberg, Ranger, Atlas, Nifi, Flink etc.,) for data processing and data pipeline orchestration.
Strong Programming skills (java, python, sql)
Strong hands on experience with Kubernetes, OpenShift, Docker, CI/CD, MLflow and observability tools.
Ability to design data architectures supporting NLP and AI driven analytics, including ingestion, curation, and governance of unstructured data within Data Lake, Data warehouse platforms.
Experience working with ML platforms such as CML, Spark MLlib, and Python ML libraries (scikit learn, XGBoost), including model deployment.
Strong experience in building full agentic application with all the features(e.g mcp/tools/memory/rag)
Experienced Cloud platforms and Cloud based app deployments with observability
Strong exposure to AI-driven risk scoring, fraud investigation and explainable AI use cases in banking.
Additional Requirements
Develop, Engage, Execute, Strategise
Be a Part of the UOB Family
UOB is an equal opportunity employer. UOB does not discriminate on the basis of a candidate's age, race, gender, color, religion, sexual orientation, physical or mental disability, or other non-merit factors. All employment decisions at UOB are based on business needs, job requirements and qualifications. If you require any assistance or accommodations to be made for the recruitment process, please inform us when you submit your online application.
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