AVP, Lead Data Engineer, Data Management & Data Analytics

OCBC Bank is the longest established Singapore bank, formed in 1932 from the merger of three local banks, the oldest of which was founded in 1912. It is now the second largest financial services group in Southeast Asia by assets and one of the world's most highly-rated banks, with an Aa1 rating from Moody's. Recognised for its financial strength and stability, OCBC Bank is consistently ranked among the World's Top 50 Safest Banks by Global Finance and has been named Best Managed Bank in Singapore by The Asian Banker.

Divison Description
The Group Data Management Office (GDMO) plans, priorities and executes key data initiatives that build long-term data governance and management capabilities, to enable OCBC Group in meeting its regulatory obligations and digitalization objectives.

Job Summary
Candidate for the role is expected to be passionate about working with huge datasets and have the experience working with businesses to build data products and services to turn data into insights using advanced analytics & machine learning. He should have experience with curation of data for analytics, and a strategic/long term view on architecting advanced data eco systems. He is experienced in building efficient and scalable data services and has the ability to integrate data systems with relevant tools and services to support a variety of customer use cases/applications.

Key Requirements:

• Designing, implementing, and operating large-scale, high-volume, high-performance data structures for analytics and data science
• Implementing data ingestion routines both real time and batch using best practices in data modeling, ETL/ELT processes by leveraging on relevant technologies and big data tools
• Gathering business and functional requirements and translate these requirements into robust, scalable, operable solutions with a flexible and adaptable data architecture.
• Collaborating with IT to help adopt best practices in data system creation, data integrity, test design, analysis, validation, and documentation
• Collaborating with data scientists to create fast and efficient algorithms that exploit rich data sets for optimization, statistical analysis, prediction, clustering and machine learning
• Helping continually to improve ongoing reporting and analysis processes, automating or simplifying self-service modeling and production support for users.

Qualifications
The ideal Candidate will meet the following requirements:

• 7-8 years of related working experience, with demonstrated strength in ETL/ELT, data modelling, data warehouse technical architecture, infrastructure components and reporting/analytic tools.
• 5+ years' hands-on experience in writing complex, highly-optimized SQL queries across large data sets
• 3+ years of experience in scripting languages like Python etc
• 3+ years of experience as project lead in driving the projects under enterprise program initiative.
• Experience with big data technologies (Hadoop, Hive, Kafka, Spark, etc.) and reporting platform such as Qlikview or Tableau.
• Ability to deal with ambiguity and prioritise/manage multiple tasks, with good problem-solving skills
• Willing to listen to multiple stakeholders and forge consensus on win-win solutions to meet sound data governance and management principles

At OCBC, we recognise your drive, passion and talent. We will bring out the best in you and empower you to excel. Fulfil your life goals and career ambitions with us.

*We regret that only shortlisted Candidates will be notified.