Manager, Data Engineer, Group Technology & Ops

UOB • West City, IL

13d

About The Position

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.

Requirements

• 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.

Responsibilities

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager