Vp, Data Engineer

**Location**

Singapore, Central Singapore

**Job Type**

Permanent

**Date Posted**

7 hours ago

Additional Details

**Job ID**

17584

**Job Views**

5

**Job Description**:
Job Responsibilities

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:
What will help you succeed in this role

Adopt an uncompromising attitude when it comes to quality and help raise bar of products and team members Be a team player who communicates effectively and professionally with both internal and external customers Identify ideas to improve system performance and impact availability Embrace tackling and resolving complex technical design issues Possess strong problem solving and decision-making skills while exercising good judgment Strong analytical and problem-solving skills Ability to work on multiple projects at a time Be able to work under pressure and manage deadlines or unexpected changes in expectations or requirements Good communication skills - ability to convey technical information to non-technical audience Ability to understand the big picture Ability to develop long lasting relationships with all levels Deep understanding and experience in software development cycle, including Agile based rapid delivery Collaborate with business and IT to analyse, elicit and review business requirements Facilitate communication between vendor, project team, business stakeholders and internal IT team Ability to work in a team distributed across multiple locationsJob Requirements

Functional Skills: Data Lake, EDW, Data Mart, Data Integration & Visualisation
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:
Technical Skills: Data Lake, EDW, Data marts, Data Integration & Visualisation

Expertise in implementing Teradata based EDW and Data mart solution using ETL tool such as (Informatica Power Centre, BDM), GCFR based framework, BTEQ scripts) Expertise in implementing Hadoop based Data mart using Spark based framework (Java, Scala, Pyspark) Good knowledge and working experience in data loading into Teradata using different load pattern (TPT, MLOAD, FAST Load), data compression (MVC, BLC) Expertise in implementing Data Governance tools; Data Lineage (e.g. Informatica MM, EDC), Business Glossary and Data Quality Expertise in implementing Reference data management (Data standardization, Hierarchy maintenance) using tools (e.g. MDM,RDM) Good knowledge and working experience in Teradata FSLM or similar industry standard data model Expertise in Cloudera CDH / CDP components Good knowledge in developing Spark based ingestion framework (Java, Scala, Pyspark) Experience in building and operationalising feature pipeline to support AI/ML model execution, data pipelines for supporting large scale data warehouse/data marts

Any TWO technical certifications

Cloudera Hadoop distribution - Hive, Impala, Spark, Kudo, Kafka, FlumeTeradata - Bteq, Query Grid, GCFR, MDM, Data Mover, BARInformatica Data Integration - PC, IDR, BDM, MM, IDQ, EDCData modelling tools - ErwinQlikSense Microsoft Power BI - SSAS, SSRSMicrosoft - RData science workbenches - Cloudera Workbench, Jupyter, DataRobot, H2O.AI, IBM DSXData Virtualization tool - Denodo, DremioAS400Language - SQL, Java, Python, Scala, PysparkAutomation / scripting - CtrlM, Shell Scripting, Groovy

Any ONE as added advantage

CI/CD software, Testing Tools - Jenkins, SonarQubeVersion Control Tool - Aldon+LMe, CA EndeavorDeployment Tool kit - JenkinsService or Incident Management (IcM) Tools - RemedySource Code Repository Tool - BitbucketScheduling Tool - Control-MDefect Management Tool - JIRAApplication Testing tool - QuerySurgeCloud certification Platforms provided by FICO, Experian, SAS for credit and portfolio management
About the Department

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.Be a part of UOB Family

Tags

vp

data

engineer