Posted on: 2018-06-07

Job type: Permanent

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Work in a cloud enviroment (AWS, Azure, Spark, Hadoop etc)
Upskilling opportunity with cloud technologies
Dynamic company with international reach and a great culture.

The Opportunity

This is a great chance for a Business Intelligence Developer, ETL Developer or Data Engineer to upskill in or continue your journey within the Big Data and Cloud technologies space (Azure, AWS, Spark, Hadoop etc) and be part of some exciting projects for both New Zealand and the international market. Skills in programming languages like Python, Java, C# etc will make you a front runner in this rare opportunity.

The Company

This dynamic company with a great culture have touch points and clients in New Zealand and beyond with a focus on data analytics, data science, software / product development and mobile platforms.

The Role

Having an innate curiosity for all things data, you will take ownership of the companies data sources and for developing robust, high performing and streamlined data pipelines, API's and processes on the big data platform. As well as the creation and innovation aspects, you will also work to monitor, identify and resolve performance issues and work to ensure platform stability.

You be responsible for setting up ETL jobs, working with API's, continuing and enhancing the data warehouse, data lakes and data marts and become involved in a number of high profile cloud and big data transition projects.

Given the constantly changing landscape in which this innovative company operate in, you will be constantly transforming and implementing big data platform initiatives.

Working in a multi-disciplined team of data scientists, machine learning experts and software engineers you will work collaboratively to build product solutions that are of high quality and fit for purpose.

The Fit

To be a success in this role, you will have proven experience in Business Intelligence, ETL Development or Data Engineering, have experince on programming languages like Python, Java, C# etc and have a solid understanding of data warehousing principles. Further experience on tools such as SSIS, SSAS, Wherescape Red or Informatica etc will also be highly desirable. Exposure to Big data and cloud technologies like Azure, AWS, Spark and Hadoop etc would be a bonus but not essential as for the right person training is on offer. The key is to have a willingness to learn and an aptitude to be successful.

What next?

Does this sound like a role for you and would like to know more or would simply like to hear about more opportunities in the data and insights space? If so, submit your application, in strict confidence, using the appropriate link below or alternatively, for a confidential discussion, please contact Peter Sing in our Auckland office on (09) 977 9802 quoting referemce 9B/35660

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Apply for Data Engineer / ETL / BI Developer (Python, Java, C#)
Reference: 9B/35660

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