Data Engineer

 

Description:

An opportunity exists within a Big 4 Banking client for a Data Streaming Engineer with skills in Pyspark, Kafka and Dynamo (AWS preferable.)

 

Key Skills Required:

 

Mandatory Requirements:

  • Minimum of 10years experience as a solution designer, developer, tester or support role
  • Minimum of 3years of hands-on development, testing and administration experience with Big Data/Data Lake services in cloud and on-premise
  • Experience in applying industry best practices, design patterns and first-of-a-kind technical solutions on data and non-data specific platforms and applications
  • Experience in implementing near real-time data flows/pipelines and distributed streaming applications using technologies such as Pyspark, Kafka & Dynamo (with AWS as preferable)
  • Experience in implementing traditional ETL, data warehousing and BI solutions
  • Hands-on development experience and working skill level in Python, Scalar, SQL, shell scripting and other programming/scripting languages
  • Hands-on implementation of services sensitive to performance SLAs with high availability, fault-tolerance, automatic fail-over and geographical redundancy
  • Working knowledge and hands-on experience with Cloud Platform such as Azure, AWS, GCP and IBM and other modern data platforms
  • Solid understanding of containerisation, virtualisation, infrastructure and networking
  • Diverse experience in software development methodologies and project delivery frameworks such as Agile Sprints, Kanban, Waterfall etc
  • Experience in presenting to and influencing stakeholders and senior managers
  • Team leadership and people manager experience

 

Key Responsibilities:

  • Develop, test and support future-ready data solutions for customers across industry verticals
  • Develop, test and support end-to-end batch and near real-time data flows/pipelines
  • Demonstrate understanding in data architectures, modern data platforms, big data, ML/AI, analytics, cloud platforms, data governance and information management and associated technologies
  • Develop and demonstrate Proof of Concepts and Working Demos
  • Lead or collaborate with other internal/external consultants in consulting, workshops and delivery engagements
  • Mentor junior consultants in the practice and delivery engagements

Organization Whizdom
Industry Engineering Jobs
Occupational Category Data Engineer
Job Location Sydney,Australia
Shift Type Morning
Job Type Full Time
Gender No Preference
Career Level Experienced Professional
Salary 0 - 0 | AUD  / Monthly
Experience 10 Years
Posted at 2025-08-12 8:38 am
Expires on 2026-01-06