Manager, Data Engineer, Group Technology & Ops

Posted 8 Days Ago
Be an Early Applicant
Hiring Remotely in El Arena, Valparaíso, CHL
Remote
Senior level
Financial Services
The Role
Lead design and delivery of scalable data ingestion, transformation, and real-time systems. Build pipelines for multimodal unstructured data using Hadoop ecosystem and Spark, develop full‑stack engineering tools, operationalize ML models with CML/MLflow, and optimize performance on Hadoop. Collaborate with business and data scientists to enable AI-driven analytics, risk scoring, and fraud use cases.
Summary Generated by Built In
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.

Apply now and make a Difference

Skills Required

  • Degree in computer science or a related discipline
  • Hands-on experience building data ingestion and transformation frameworks using Java, Spark, Python, and shell scripting
  • Hands-on experience with Hadoop ecosystem components (Iceberg, Ozone, Trino, Hive, Ranger, Kafka, Flink, NiFi, Impala, Atlas)
  • Strong programming skills in Java, Python and SQL
  • Experience developing full stack applications and internal tools using Python, shell scripting and web frameworks (Flask, React)
  • Experience with Kubernetes, OpenShift, Docker, and CI/CD pipelines
  • Experience with ML lifecycle tools such as MLflow and Cloudera Machine Learning (CML)
  • Ability to design data architectures for NLP and AI analytics, including ingestion, curation and governance of unstructured data in Data Lake and Data Warehouse platforms
  • Experience operationalizing ML using Spark MLlib and Python ML libraries (scikit-learn, XGBoost) including model deployment
  • Experience in performance tuning and optimization of data applications on Hadoop
  • Experience building agentic applications and related features (e.g., mcp/tools/memory/RAG)
  • Experience with cloud platforms and cloud-based app deployments with observability
  • Exposure to AI-driven risk scoring, fraud investigation, and explainable AI use cases in banking
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The Company
HQ: Singapore
25,000 Employees
Year Founded: 1935

What We Do

We’re here to do Right By You. At UOB, we aspire to build a better future for the people and businesses in the region. Through our extensive network and suite of capabilities, we offer financial solutions to the people and businesses within, and connecting with ASEAN. We create solutions tailored to your unique needs through data and relationship-led insights. Our comprehensive regional network and one-bank approach connects your business to new opportunities in ASEAN. We help businesses to advance responsibly and guide personal wealth to grow sustainably. We foster inclusiveness and environmental well-being for stronger societies. This is how we stay committed to forging a sustainable future for generations to come. Note: For the terms of use of our LinkedIn channel, please visit: https://go.uob.com/socialmedia

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