• ED / SVP , Platform Architect , Group Consumer Banking and Big Data Analytics Technology , Jobs in Singapore

  • DBS Bank Ltd
  • Singapore
  • Save Job
  • 15 - 18 Years
  • Posted : above 1 month

Job Description:

ED / SVP, Platform Architect, Group Consumer Banking and Big Data Analytics Technology, Technology and Operations - ( WD08005 )

Business Function

Group Technology and Operations (T&O) 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 T&O, we manage the majority of the Banks operational processes and inspire to delight our business partners through our multiple banking delivery channels

Responsibilities

Define and own end to end architecture for Big Data Analytics Solutions for Consumer Banking Group Drive our data analytics and ML application architecture
Engage with business analysts, marketing, operations teams in Consumer Banking Group to understand their needs and create big data analytics solutions that meet the business needs
Work closely with Big Data Engineering and Data Science team to implement, troubleshoot, and optimise distributed applications based on modern big data technologies like Hadoop, Spark, Kafka, etc in both an on premise and cloud deployment model to solve large scale processing problems
Lead the transformation of a peta-byte scale batch-based processing platform to a near real-time
Streaming platform using technologies such as Kafka and Spark
Transition several 100s of existing applications (based in Teradata, Informatica, Qlik View, SAS based analytics and ML models) to modern big data analytics applications based on Hadoop, Spark, Kafka etc
Well versed with Data Sciences, Machine learning and Deep Learning based solutions and frameworks Apply technical knowledge to architect solutions that meet business and IT needs infusing key analytics and ML technologies where appropriate
Provide expert level support to data scientists, data engineers, and operations to deliver high quality analytics, machine learning data pipelines, APIs and end to end solutions
Maintain and advance deep technical skills and knowledge, keeping up to date with market trends and competitive insights, and share within the technical community
Develop deep relationships with key business stakeholders and decision makers to drive cloud adoption within their company to enable them to be cloud advocates

Requirements

Technical Degree, min of Bachelors in Computer Science or adjacent fields with 15 years of software development experience
10 years of expertise in Big Data technologies including Apache Spark, Apache Kafka, Hadoop, No-SQL databases such as Hbase, Cassandra, OLAP columnar storage systems, Bit Map indexes to handle millions of consumers and thousands of attributes while allowing real-time querying and segmentation
Must have hands on coding skills in Java or Python
Experience in building data services and applications on both structured and unstructured streaming data
Experience in operationalising Machine Learning workflows to scale
Breadth of technical experience and expertise in Business Intelligence, Big Data and Data Science
Proven track record of driving architecture decisions collaboratively, resolving conflicts and ensuring follow through with exceptional verbal and written communication skills
Presentation skills with a high degree of comfort with both large and small audiences (Senior Executives, IT management and engineers)
Hunger to Learn & Teach Genuine interest to learn new technologies and share it with rest of the engineering team to keep them up-to-date on technology trends
Problem solver Enjoy new and meaningful technology or business challenges which require you to think and respond quickly
Open source Prefer open source technologies and build it yourself mentality, open source contribution is highly preferred
Team player Enjoy working collaboratively with a talented group of people to tackle challenging business problems so we all succeed (or fail fast) as a team
Ability to travel up to 25 PERCENT of the time

Preferred Skills

Experience with big data analytics and data science solutions developed in large cloud computing infrastructures such as Amazon Web Services, Azure Cloud, and/or Google Cloud
Prior experience as a data architect in designing large, complex enterprise data environments, for both structured and unstructured data Expertise in data modelling, data governance, data mastering, meta-data management, data security and compliance, data lifecycle management, data-tiering and data archiving
Presence in open source projects will be huge plus
Experience with Personalisation, Recommendation, Audience Segmentation systems

We offer a competitive salary and benefits package and the professional advantages of a dynamic environment that supports your development and recognises your achievements

Primary Location Singapore

Job Technology

Schedule Regular

Employee Status

Full-time

Profile Summary:

Employment Type : Full Time
Eligibility : Any Graduate
Industry : Financial Services/Stockbroking
Functional Area : IT Software : Software Products & Services
Role : Software Engineer
Salary : As per Industry Standards
Deadline : 18th Mar 2020

Key Skills:

Company Profile:

Company
DBS Bank Ltdarfix

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