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Data Engineer

The role

The Data Engineer role is responsible for the implementation of our ETL component of our data warehouse. The Data Engineer will migrate jobs in our current ETL tool to the new tool.  As a secondary responsibility of this position, you will be advising on best approaches around architecture and data modelling for our Data Warehouse Solution.

Working closely with other data engineers and the internal Analytics team, you will ensure that data requirements are captured and satisfied through our solutions.

Please note this is a 12 month contract.

About you

This role will suit 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. The right person will also enjoy working with various stakeholders on large scale, and significantly complex data sets.

Essential skills:

  • Degree in Computer Science, Engineering, Statistics or a related field
  • Minimum 4+ years of relevant experience as a Data Engineer within data and analytics domain
  • Experience with solution architecture, data ingestion, query optimisation, data segregation, ETL, ELT, AWS, EC2, S3, SQS, lambda, Redshift, CI/CD frameworks and workflows.
  • Tableau experience and Talend experience an advantage
  • Working knowledge of data platform concepts – data lake, data warehouse, ETL, big data processing (designing and supporting variety/velocity/volume), real time processing architecture for data platforms, scheduling and monitoring of ETL/ELT jobs
  • PostgreSQL and programming (preferably Java, Python), proficiency in understanding data, entity relationships, structured & unstructured data, SQL and NoSQL databases
  • Knowledge of best practice in optimising columnar and distributed data processing system and infrastructure
  • Experienced in designing and implementing dimensional modelling
  • Understanding of CRM and Student LMS systems a plus but not mandatory
  • Experience in engaging with both technical and non-technical stakeholders
  • Knowledge of machine learning and data mining techniques in one or more areas of statistical modelling, text mining and information retrieval.

Apply now with a CV and cover letter outlining why this role and this workplace culture sounds like exactly what you have been looking for.

View on SEEK Applications close 30 September 2020 Back to Vacancies