Data Engineer (Databricks)

Data Engineer (Databricks)
Company:

Grow Inc.


Details of the offer

Whether you're working from home or on your way to the office, chances are you're probably reading this because you're seeking a new adventure, or you're up for a new challenge.
GROW Inc might just be that for you! So, who is GROW Inc? Founded in 2016, we're the Australian Fin Tech success story you probably haven't heard about.
We're solving big problems in the Superannuation and Managed Funds industry.
The administration platforms (the software that tracks everything to do with your super) are built on things you or your parents would recognise from the glory days of 90's computing.
How are we doing it? We're solving this by disrupting the wealth management industry with DLTA, our platform built on Distributed Ledger Technology which improves the financial wellbeing of Australians.
We're making Super more timely and information more accessible whilst enabling wealth management companies to offer more cost effective solutions.
We're rebels with a cause.
We're authentic, diverse, and embrace our differences as we continue to put a dent in the universe.
We know diversity of thought helps us to build better solutions for our customers which is why we encourage the entire GROW team to bring their whole selves to work each and every day.
Job Description Strong technical experience with languages and tools such as - Python, Spark, DBT, Databricks.
Experience with and knowledge of AWS services (e.g., Redshift, Athena, Glue, S3, EMR).
Experience with and knowledge of CI/CD tools and practices.
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.
Apply appropriate statistical calculations and models against data sets in GROW's Data Lake.
Continuous improvement activities on performance optimisation of all data pipelines and data stores, applying engineering best practices to code (i.e., 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 GROW's risk framework.
Additional Information Why you'll love working at GROW 1 day of birthday leave each year.
Health insurance for you and 1 dependent.
Government Contributions paid on top of salary.
Flexible, remote working environment.
Diverse, friendly, and transparent culture.
On-the-job learning and training.
Looking for a job can be stressful and we don't want you agonising over the wording of your cover letter, so don't include one.
Just make sure your CV is well-written and detailed enough so we can get a better idea of the type of person you are.
Even if you don't 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.
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Source: Jobrapido_Ppc

Requirements

Data Engineer (Databricks)
Company:

Grow Inc.


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