nXscale provides flexible outsourcing solutions for startups and scaleups. We partner with global companies to help them build teams and scale operations.
Whether you're at home or on your way to work, you're probably reading this because you're looking for a new experience or a new challenge. Our client has assembled a group of seasoned superannuation and financial services professionals. Bringing together exceptional brains from Administration, Product, and Technology positions us to develop novel solutions to decades-old challenges.
What you will do:
● 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 GROW’s 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 GROW’s risk framework
● Document changes, calculation methodologies and process of executing reports in GROW’s Wiki Appropriately
● Contribute to business cases the Head of Data Engineering will be putting forward to GROW’s Strategic Leadership Team
● Support the Product owner in communicating the delivery and handover of a report to the relevant internal/external stakeholders
Who you are:
● Data Engineering - owns the development and continuous improvement of our data platform capabilities including data pipelines, data lake & warehouse, ingestion and integration with reporting & operational systems
● Data Analytics - owns the delivery and improvement of our data analytics capabilities including data modeling and data analysis
● Data Architecture - partners with the architecture team to develop a cloud-first data architecture required to deliver the data platform
● Data Governance - owns the governance of our platform data, collaborating with Legal & Risk to ensure we appropriately catalog and manage our data
● Data Security - collaborates with Legal & Risk and DevOps to manage risk by building security into our software delivery practices
● Product Planning - collaborates with Product & Design on discovery to determine what will be delivered next
● People - collaborates with the People team on hiring & employee experience to build high performing data engineering teams
We are an equal opportunity recruiter and employer and value diversity most at nXscale. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
The nXscale Referral Program is still open!
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