Senior Data Engineer

4 weeks ago

Singapore IKIGAI ENABLERS PTE. LTD. Full time
Roles & Responsibilities

Role Overview

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 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.


Key Responsibilities:

  • Create frameworks, technical features which helps in faster operationalisation of Data models, Analytical models(including AI/ML) and user generated contents (dashboards, reports etc)
  • Create playbooks, practice guides and other artefacts that will allow the engineering team to work in a structured, standard manner
  • 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

At least, 2 to 3 technical certifications in any of the below technologies:

  • SQL – Teradata, Oracle
  • Language – SQL, Java, Python, Scala, Javascript, node.js
  • Automation / scripting – CtrlM, Shell Scripting, Groovy
  • Cloudera Hadoop distribution – Hive, Impala, Spark, Kudo, Kafka, Flume

Additional Experience required for all teams to create 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

Qualification:

  • Bachelor’s degree/University degree in Science, Technology, Engineering, or equivalent experience
  • Expertise in large databases such as Teradata, Oracle
  • Expertise in Advanced SQL (Teradata BTEQ, Fact Load, GCFR, Oracle PL-SQL)
  • Expertise in building cloud native frameworks and playbooks using Scala, Java, Python, Shell scripting, Go
  • Experience in large scale implementations and performance optimizations in the Big Data Ecosystem using Spark, Hive, Impala, Apache Kudu, Ozone, Presto, Tez, Iceberg etc
  • Knowledge of frameworks such as Spring, Struts, Hibernate etc
  • Knowledge of Object Oriented Programming, Multi-threading, Containerization, etc
  • Knowledge of Data Integration tools such as Informatica
  • Knowledge of Metadata tools, Data Quality tools is a plus
  • Expertise in integrating applications with Devops tools

Tell employers what skills you have

Teradata
Scala
Oracle
Big Data
Hadoop
Informatica
Scripting
Data Integration
Data Quality
SQL
Python
Performance Tuning
Metadata
Java
Apache
Databases

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