data engineer in Christchurch

posted
contact
alan diepraam, randstad
job type
permanent

job details

posted
location
christchurch, canterbury
specialism
IT & ICT
job type
permanent
working hours
Full-Time
experience
6 years
reference number
90M0440162_1615424695
contact
alan diepraam, randstad
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job description

Looking to progress your career in a new Data Science team? If so, look no further ... Our client seeks an experienced Data Engineer to join their Data & Analytics Centre of Excellence, in order to develop advanced business insights for this highly regarded international brand.

Key aspects to this role include:

  • Building, managing and optimising data pipelines
  • Improving and operationalizing integrated and reusable data pipelines
  • Production of key data and analytics for Business Analysts, Data Analysts and Data Scientists
  • Integrate analytics and data science results with business processes

This is a key, strategic position for the Data & Analytics Centre and requires a data engineering professional with the following experience, technical skills and qualifications:

  • B.Sc. or post-graduate in Computer science or similar
  • 6+ years of commercial experience in data engineering
  • Data architecture - Data Warehouses, Data Lakes, Data Hubs
  • Design, build and management of data pipelines
  • Experience working with large, heterogeneous datasets
  • ETL, data replication,CDC, message-oriented data tools
  • API design and access, CEP and data virtualization
  • Hadoop ecosystem, python, Kafka

In return for your data engineering skills and talent, you are offered a competitive salary and a fast paced and vibrant work culture, based in a lifestyle destination.

To find out more, hit the APPLY NOW button now!

Please note that due to COVID 19 border restrictions in NZ, no overseas based applications will be considered at this time.

At Randstad, we are passionate about providing equal employment opportunities and embracing diversity to the benefit of all. We actively encourage applications from any background.

skills

SQL, PL/SQL, Trifacta, ETL, Data Warehouse, Python, NoSQL, Hadoop, Kafka, DevOps

responsibilities


educational requirements

Bachelor Degree