Analytics Engineer
Analytics Engineer
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Not Disclosed
Salary Not Disclosed
1 Vacancy
Job Description
Strong technical experience with languages and tools such as Python Spark DBT Databricks
Collaborate with team members to collect business requirements define successful analytics outcomes and design data models
Provide clean and appropriate data sets/views for data and reporting requirements to be delivered
Provide insights and workshop with Data Engineers the gaps of data in the data lake for data engineers to pipeline in
Apply appropriate statistical calculations and models against data sets in GROWs Data Lake
Continuous improvement activities on performance optimisation of all data pipelines and data stores applying engineering best practices to code ie Versioning automated testing CI/CD
Provide input into the discovery and solution phase for Business/Client needs assessing risk in exposing data and working inline with GROWs risk framework
Additional Information :
Why youll love working at GROW
- ME Days Take an additional 3 days of leave off per year for wellness!
- Birthday Leave Take an extra day off per year on your birthday!
- Health insurance for you and 2 dependents
- Government Contributions paid on top of salary
- Flexible remote working environment
- Diverse friendly and transparent culture
- Onthejob learning and training
Looking for a job can be stressful and we dont want you agonising over the wording of your cover letter so dont include one. Just make sure your CV is wellwritten and detailed enough so we can get a better idea of the type of person you are. Even if you dont meet every single requirement but you feel inspired to join our mission we encourage you to send in your application. You never know you could be the perfect person to join our team!
We are a 2024 Circle Back Initiative Employer we commit to respond to every applicant
Remote Work :
Yes
Employment Type :
Fulltime
Employment Type
Remote
