AVP, Data Engineer - BI Tools

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

The Technology and Operations function is comprised of five teams of specialists with distinct capabilities: business partnership, technology, operations, risk governance and planning support and services. We work closely together to harness the power of technology to support our physical and digital banking services and operations. This includes developing, centralising and standardising technology systems as well as banking operations in Singapore and overseas branches.

Job Responsibilities

You will be responsible for the end-to-end software development and support for all work related to projects, quarterly change requests, L3 production fixes. This includes software product implementation and administration, application design, development, implementation, testing and support. You will be expected to work on Finance & Risk Analytics.

You will also be responsible for quality assurance of the team’s delivery in conformance with the Bank-defined software delivery methodology and tools. You will partner with other technology functions to help deliver required technology solutions.

Other responsibilities include:

• Create frameworks, technical features which helps in faster operationalisation of Data models, Analytical models(including AI/ML) and user generated contents (dashboards, reports etc.)
• Effectively partner with citizen data scientists in enabling faster adoption of AL/ML model based systems
• Independently install, customise and integrate software packages and programs
• Carry out POCs involving new data technologies
• Design and develop application frameworks for data integration
• Create technical documents such as solution design, program specifications for target solutions
• Perform design and development of applications which may not be limited to: Software Applications, Data Integration, User Interfaces, Automation
• Maintain and recommend software improvements to ensure a platform centric management of software applications
• Performance tuning 
• Work with production support team members to conduct root cause analysis of issues, review new and existing code and/or perform unit testing
• Perform tasks as part of a cross functional development team using agile or other methodologies and utilising project management software

Job Requirements

Functional skillsets

Data Lake, EDW, Data Mart, Data Integration & Visualization

Hands-on experience in implementing large scale data warehouse & analytics platforms in financial services industry with good functional knowledge of products & services offered in Retail bank / Wholesale / Global Markets covering some of the following analytics domains:

• Setting up and running BI tools oriented platform
• Design and develop QlikSense & Microsoft Power BI applications
• Design and develop Applications in SAS, Microsoft-R, Python
• Integration of BI tools with data stores (EDW, data marts )
• Experience in Data Modeling, Data mapping for Data Warehouse and Data Marts solutions
• Experience in financial domain - Retail , Wholesale, Compliance, Digital 
• Expertise in design of role based fine grained access control 
• Designing cloud ready data solutions, Virtualization

Technical skillsets

• Expertise in installing and configuring of BI/Analytical tools like Qlik, Power BI, SAS, Microsoft R 
• Expertise in administration (QMC, powershell scripting), infrastructure design of such tools
• Integration with other data systems like EDW, Data mart, CRM, Digital 
• Expertise in building BI semantic layer (Qlik - QVD, PowerBI - Direct Query, SSAS, In Memory SSAS modelling, SSRS, Excel Add In)
• Creating application framework specific to BI tools to speed up user adoption
• Good working experience in security features of BI tools including integration with Active Directory, solutions to protect data in motion and at rest
• Good working experience in fine tuning on line BI queries, BI models, analysis of DAX queries
• Reports/Dashboard/Application development expertise using QLIK, PowerBI, SAS, Microsoft R, Python

2 to 3 technical certifications from enclosed list:

• Cloudera Hadoop distribution – Hive, Impala, Spark, Kudo, Kafka, Flume
• Teradata – Bteq, Query Grid, GCFR, MDM, Data Mover, BAR
• Informatica Data Integration – PC, IDR, BDM, MM, IDQ, EDC
• Data modelling tools (Erwin)
• QlikSense
• Microsoft Power BI – Direct Query, SSAS, SSRS, Excel Add In
• Microsoft – R
• Data science workbenches – Cloudera Workbench, Jupyter, DataRobot, H2O.AI, IBM DSX
• Data Virtualization tool – Denodo, Dremio
• AS400
• Language – SQL, Java, Python, Scala, Pyspark
• Automation / scripting – CtrlM, Shell Scripting, Groovy

Experience for an added advantage:

• CI/CD software, Testing Tools - Jenkins, SonarQube
• Version Control Tool - Aldon+LMe, CA Endeavor
• Deployment Tool kit -Jenkins
• Service or Incident Management (IcM) Tools - Remedy
• Source Code Repository Tool - Bitbucket
• Scheduling Tool - Control-M
• Defect Management Tool - JIRA
• Application Testing tool – QuerySurge
• Cloud certification
• Platforms provided by FICO, Experian, SAS for credit and portfolio management

Be a part of 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.

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