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Data Engineer (Cloud)

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Date: 04-Feb-2019

Location: Perth, AU

Company: Woodside Energy Ltd

About Woodside

As a diverse and expanding organisation we have many divisions that support our business. You will find development and career opportunities, you’ll be valued, recognised, challenged and rewarded. What’s more, as a WA-based company, executive and leadership decisions are made right where you work.

 

Explore your Woodside at woodside.com.au/careers

About the Role:

At Woodside we aspire to have digitisation embedded in everything we do. When you join Digital at Woodside you will work with teams pioneering new technologies and the application of cloud, data science, artificial intelligence and cognitive computing. Our success is determined by the pioneering spirit of our people, who live our values every day: respect, discipline, working sustainably, working together, integrity and excellence.

We are looking for people with proven technology experience who approach their work with passion and will collaborate extensively to help us realise our Digital Strategy.

This role requires a Data Engineer (Cloud) experienced in cloud technology to join our growing Citizen Data Science (CDS) team.  Working with leading edge cloud computing technology this role is responsible for managing and extending the Woodside datalake to be the source of truth system for data science and other business applications.

You will use your strong communication skills to work in agile projects with niche vendor groups to determine data enable requirements and deliver solutions.

This is a 2 year fixed term contract position based in our head office in Perth, Western Australia.

Duties & Responsibilities:

  • Play product owner role in distributed agile development teams developing new systems to expand datalake (Amazon Web services) functionality using cloud computing solutions
  • Engage with a diverse group of stakeholders to determine data enablement requirements
  • Manage and maintain the data life cycle in datalake and enterprise data warehouse platforms
  • Ensure level two support teams are enabled to monitor our systems and support users
  • Manage and execute data enablement projects
  • Mentor and coach junior team members to help build capability within our Data science team

Skills & Experience:

  • Demonstrated skills using RDMS Database and other database technologies such as SQL server, Oracle, PostgreSQL and MySQL
  • Previous experience working with Amazon Web Services (AWS) cloud experience specifically in Relational Database Services (RDS), S3 storage and Elastic Map Reduce (EMR) services. Familiarity with the process of deploying these services as part of a Continuous Integration / Continuous Deployment (CI/CD) stack is required 
  • Extensive experience with Hadoop based datastores like Hbase and Presto
  • Experience of working with Distributed Agile teams following Scrum methodologies including story elaboration, planning and estimation and stand-ups
  • Experience interacting with business users and working in operational support environments

Recognition & Reward:

A career with Woodside is rewarding both personally and professionally.  We offer:

 

  • Flexible work arrangements, including part time and job share opportunities
  • Career development through professional development programs and by working alongside industry leaders
  • Possibility of educational assistance to support your career development
  • Opportunities to undertake interesting work on world-class projects
  • A values driven environment where working together is key
  • The opportunity to participate in voluntary initiatives in the community
  • Financial rewards that are linked to performance through an annual bonus
  • Above industry superannuation contributions
  • Industry leading 16-weeks paid parental leave
  • Flexibility of leave provisions for events such as community service, cultural and volunteer activities (one day per annum)
  • Subsidised gym membership in some locations

     

    Woodside aspires to be an industry leader in diversity.

     

    Applications close 11:59pm AWST on Monday 25 February 2019

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