As a Data Engineer, you are required to build Python pipelines to load data into a Google Big Query platform. You will be working for one of the most competitive betting companies in preparation to help them with their transformation into the cloud.
This company are one of well-established UK betting firm who have recently formed a partnership with another firm to enhance their online presence. In order to store and secure customer data, the BI team are working towards converting to a Google Big Query platform form an Oracle legacy system. A Python expert is required to build Python pipelines to transfer the data from their Oracle database.
As a Data Engineer, you are required to have queried data using SQL and to have built Python ETL pipelines. The ideal candidate will have worked on a transformation project into Google Big Query. You will be using Airflow however, if you have experience using Nifi, Oozie or Jenkins then that would be a good replacement. Moreover, if you have a background using BI tools, this would benefit your application as you'll be working closely with BI Engineers.
YOUR SKILLS AND EXPERIENCE:
The ideal Data Engineer will have:
- Experience working on Google Big Query
- Built Python ETL pipelines from scratch
- Have worked on transformation projects from an Oracle database
- Exposure to liaising with senior stakeholders
HOW TO APPLY:
Please register your interest by sending your CV via the Apply link on this page.
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