AVP Data Engineer: Secure Data Pipelines & Risk Analytics

OCBC (Singapore); Singapore; Sur place; SGD 90 000 - 130 000; Plein temps

Avantages offerts par ce poste

Competitive base salary

Flexible benefits package

Community initiatives

Learning & development opportunities

Wellbeing and growth support

Résumé du poste

OCBC Bank in Singapore is looking for a hands-on Data Engineer to build secure, scalable data pipelines and data products that enable actionable risk insights across the Group. You will collaborate with risk, business and technology stakeholders to transform structured and unstructured data into production-grade datasets using Talend, SQL, Python and Spark, while adhering to secure-by-design principles.

The role emphasizes delivery, production support and documentation to ensure reliable data

Qualifications

• Minimum 6 years of hands-on data engineering experience.
• Experience in risk management and project management is advantageous.
• Strong background in Teradata/Oracle SQL/PL/SQL.
• Proficiency with data modeling and modern data transformation techniques.

Responsabilités

• Develop and enhance data pipelines and system architecture.
• Create and maintain data pipelines to ingest from varied data sources via Talend.
• Define and translate business requirements into technical solutions.
• Support deployment and production onboarding of applications using data pipelines.
• Collaborate with stakeholders across requirements, UAT, deployment and warranty support.

Connaissances

SQL

Python

Spark

Hadoop

Talend

Kafka

Outils

Talend

Hadoop

DBT

Hive

Impala

Kafka

Description du poste

OCBC Bank in Singapore is looking for a hands-on Data Engineer to build secure, scalable data pipelines and data products that enable actionable risk insights across the Group. You will collaborate with risk, business and technology stakeholders to transform structured and unstructured data into production-grade datasets using Talend, SQL, Python and Spark, while adhering to secure-by-design principles.

The role emphasizes delivery, production support and documentation to ensure reliable data