VP / AVP, Data Analytics ETL Lead, Information Security Services, Group Technolo - Toa Payoh
The bank's capital position, as well as "AA-" and "Aa1" credit ratings, is among the highest in Asia-Pacific. DBS has been recognised for its leadership in the region, having been named “Asia’s Best Bank” by The Banker, a member of the Financial Times group, and “Best Bank in Asia-Pacific” by Global Finance.
The bank has also been named “Safest Bank in Asia” by Global Finance for seven consecutive years from 2009 to 2015.
Business Function
Group Technology enables and empowers the bank with an efficient, nimble, and resilient infrastructure through a strategic focus on productivity, quality & control, technology, people capability and innovation. In Group Technology, we manage most the Bank's operational processes and inspire to delight our business partners through our multiple banking delivery channels.
We are looking for an experienced data platform ETL lead with coding background to join the Data Protection Program in Information Security Services.
Responsibilities
Platform Lead:
- Lead and manage the data security log onboarding process
- Lead the data security related log onboarding platform and streamline the current log onboarding process.
- Design, develop, and maintain ETL (Extract, Transform, and Load) required to populate the data for in house data analytics models.
- Engage with application teams and system owners to validate onboarding plans and requirements.
- Coordinate task tracking and prioritization across application teams and data analytics teams to ensure timely execution.
- Oversee operational monitoring activities and manage timely escalations to resolve issues.
- Maintain clear documentation and regularly report onboarding progress, risks, and outstanding action items.
- Lead and facilitate Sprint Planning, Daily Scrums, Sprint Reviews, and Sprint Retrospectives. Ensure these events are time-boxed, productive, and valuable to the team.
- Facilitate Communication
- Ensure clear and open communication within the team and with stakeholders. Facilitate effective information sharing and transparency.
Conduct ongoing monitoring to support BAU operations, including source availability checks, troubleshooting, incident escalation, and implementation of corrective actions or long-term fixes.
Requirements- Minimum 3 years of experience in building or managing ETL process for enterprise data platform.
- Minimum 5 years of coding experience with Java.
- Proficiency in Java and the Spring framework.
- Good Experience with ETL tools, Mysql/MariaDB and data warehouse concepts.
- Experience with Python, including data analytics libraries such as Pandas, Scikit-learn, and TensorFlow, is highly desirable.
- Good understanding of machine learning and data mining techniques, particularly their application in detecting insider threats.
- Excellent communication skills, with the ability to present technical concepts clearly and manage stakeholder expectations effectively.
- Project management experience, with the ability to coordinate the ETL process with relevant teams and ensure delivery of key milestones within agreed timelines.
- Familiarity with DevOps practices, including continuous integration and release automation.
- Experience with container technologies, especially platforms managed via OpenShift and Tanzu.
- Experience in Detection Engineering and/or User Entity Behaviour Analytics (UEBA) is a plus.
Apply Now
We offer a competitive salary and benefits package and the professional advantages of a dynamic environment that supports your development and recognises your achievements.