Solutions Engineer

  1. Full Time
  2. Business Improvement
Posting date:17 Dec, 2020


Big Data & AI Lead
Location: Paddington

Our purpose at Vodafone is to connect for a better future. At Vodafone Group, we partner with our local markets to drive consistency and earn customer loyalty across 20 countries for over 600 million customers. We are restless and passionate about creating a better future for all. We are always open to new things, and curious to create solutions that our customers will love. We are constantly learning to innovate the way we operate, set our global standards and to deliver on our strategy. Our ambition is to improve 1 billion lives and half our environmental impact by 2025. It’s up to each of us to make this happen. Ready?

Today, we connect one in 16 people worldwide. The technology function is fundamental in building a Digital Society. Our Gigabit networks, the Internet of Things and mobile financial services enable incredible innovations that will make our lives easier, healthier, smarter and more fulfilling. We want to make sure that our technology creates a better future for people, communities, businesses and society. We get it done, together. We think big, take risks, keep the best and learn from the rest. Do you?

Role purpose:
Accountable for all IT\technical aspects for implementing a Nucleus release on Google Cloud.  The role will take a lead the definition of solution design and configuration of the core solution overall and for specific releases - working with the project delivery lead down to software development teams to effectively plan and complete the delivery,  Individual will leveraging their cloud engineering knowledge to lead design discussions, unlock technical issues, manage key dependencies to be delivered on time and that relevant engineering teams work to processes and standards defined.

Skills Required:
Certified Google Cloud Data Engineer
Certified Google Cloud Architect
Experience implementing data warehouse and analytics solutions
Good knowledge and experience in CDAP, Google Data Fusion, Google Data Flow, Dataproc, Spark, Google Cloud Functions, Google Composer, Google PubSub, Apache NiFi, Kafka, Talend, ODI
Good knowledge and experience in using BigQuery
Good understanding of GCP cloud platform
Good knowledge ans experience with Application CICD implementations using: GitHub, Jenkins and Nexus
Good knowledge of Java and Python
Knowledge and experience in working in agile lean methodologies



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