Lead Data Engineer Lead Data Engineer …

IBM
in Sydney, New South Wales, Australia
Permanent, Full time
Be the first to apply
Competitive
IBM
in Sydney, New South Wales, Australia
Permanent, Full time
Be the first to apply
Competitive
Lead Data Engineer
Introduction

At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, lets talk.


Your Role and 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 IBM consultants in the practice and delivery engagements
#GBSskills_ANZ, approfpriorityjob


Required Technical and Professional Expertise
  • Minimum of 10+ years of experience as a solution designer, developer, tester or support role in IT Consulting or other technology business units across the industry
  • Minimum of 3+ years 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 as developer or administrator on data and non-data specific platforms and applications
  • Experience in implementing near real-time data flows/pipelines and distributed streaming applications
  • 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

Preferred Technical and Professional Expertise
  • 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
  • Degree in Computer Science, Information Technology or related Engineering courses
  • One or more industry-recognised technology certifications or badges
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