ETL Developer

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Start your career in Data Engineering! Support our end to end data solution and AWS cloud infrastructure.

Summary about this job

Engineering - Software

Company: Online Education Services

Location: Melbourne

Work type: Full Time

Salary: n\a

Phone: +61-7-7126-9165

Fax: +61-2-4536-5681

E-mail: n\a

Site:

Detail information about job ETL Developer. Terms and conditions vacancy

  • A quality model enabling true empowerment to seek innovation
  • Named #1 Best Employer in Australia & NZ 2017 by Aon Hewitt
  • Work with extraordinary & passionate people

Online Education Services (OES)

OES has strong shareholder backing from both SEEK Limited and Swinburne University and is majority owned by SEEK Limited, the global leader in the creation and operation of online employment markets. Swinburne University is a vibrant, multicultural, innovative and student-focused university with over 50,000 students. SEEK operates across 19 countries, is listed on the Australian Securities Exchange with a market capitalisation close to A$6 billion and has been placed in the Top 20 Most Innovative Companies Globally by Forbes. Together this partnership has successfully formed a true leader in quality Online Education.

Why us?

Other than being named #1 Best of the Best Employer in Australia & NZ 2017 by Aon Hewitt? Well, we have experienced tremendous growth and success in just 6 years and have built an organisational culture that values people and progress. Our technological landscape is a model enabling true empowerment to seek innovation, with a freedom to research and develop new features in a progressive field of work. Through growth and the championing of progression, there is opportunity to have a real impact on business success. Personal and professional development opportunities are encouraged through a diverse range of projects and challenging work.

The role

the ETL Developer will be responsible for supporting and maintaining our end to end Data Solution and Infrastructure. Over time, you will seek to improve this solution, and our data capture methods, to ensure that the business can make data-driven decisions with complete confidence.

This person will work closely with the IT Solution Lead to extract, load and transform data into our Data Warehouse, as well as work closely with the internal reporting and retention teams to ensure that data requirements are captured and satisfied through our solutions.

About you

This role will suit a recent graduate or someone with 1-2 years experience. The successful candidate will be a self starter who is able to work independently, someone who is a strong communicator and willing to learn new tools and technologies as well as education concepts. We are looking for someone who has a strong mathematical background with ability to understand reporting and analysis algorithms.

Essential skills:

  • Degree in Computer Science, Engineering, Statistics or a related field
  • Knowledge of concepts within the data domain (Dimensional Modelling, Data Marts, Data Lakes, Data Warehouses, ETL, Reporting concepts).
  • Knowledge of a range of technologies within the data domain (SQL Databases, EMR, Talend, SAS, Tableau etc.).
  • Understanding of Cloud Platform (Amazon Web Services preferred)
  • Data Warehousing experience (AWS Redshift or columnar database preferred)
  • Intermediate SQL skills, able to performance tune tables/queries.
  • Experience in programming- Java and/or Python

OES is a culture which celebrates success, empowers and develops people and continues to take pride in the preservation of a values based culture. We use regular feedback and insights from our people to help inform and boost engagement and have a dedicated team who ensure social events and activities across the year. The best part is, we take our time in consistently recruiting inspired, friendly and passionate people for you to work alongside.

If you or someone you know is interested, please contact Valerie Fronimakis at [email protected] for further information or for a confidential discussion.

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