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Virtually Human Studio
$81k - $100k estimated
This job is closed
Senior Data Engineer (Remote)
AUSTRALIA /
ZED – ENGINEERING /
FULL TIME
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Virtually Human Studios (VHS) is exploring the fringes of entertainment delivery for the next generation. Founded in 2019, Virtually Human is a gaming and entertainment blockchain startup and proud creators of the viral NFT gaming platform of its time ZED RUN. VHS has partnered with some of the most innovative and leading gaming and sports giants around the world, including Unikrn and Atari just to name a few. VHS is a fully remote-first organisation focused on building a high performance culture.
Data is important to us: At VHS, we strive to be data driven and data plays a critical role for us in our decision making. We are looking for a Data Engineer to join and contribute to the team and help make data available to various parts of the business and drive delivery of our Blockchain entertainment products.
Our team requirements
- You can work independently and can get up to speed quickly
- You are collaborative and a team player
- You have the ability to influence stakeholder and team-members, and drive key business objectives
- You have the flexibility required to work with a globally distributed development team across multiple time zones along with a good internet connection at all times to allow for easy facilitation of group video calls
Role Requirements
- You have at least 5 years of experience working in a similar position
- Proven ability to take raw data and transform it in ways to best capture its value and insights through developing and supporting data warehouses, analytical databases and data infrastructure
- Experience building and optimising ‘big data’ data pipelines, architectures and data sets
- Strong experience writing SQL queries for analysing data and transforming it according to business requirements
- DevOps, CICD, terraform skillsExperience with big data tools: Spark, Kafka
- Experience with relational SQL and NoSQL databases, including Postgres and MongoDB
- Experience with cloud services such as Redshift and BigQuery
- Experience with building and managing data warehouses and data lakes
- Experience with data pipeline and workflow management tools: dbt, Luigi, Airflow
- Experience with both batch and real time data processing
- Demonstrated experience using Python, GIT, SQL, Visualisation Tools, Data Notebooks (e.g. jupyter) and Linux
- Google cloud experience is desirable but not essential Good to have skills:Previous experience in the blockchain industry
Why Work For VHS?
- A supportive friendly environment of dedicated and passionate co-workers
- Remote First - Flexible work from home arrangement
- Exposure to the new aged world of Blockchain and NFT’s
- Unlimited leave
- Maternity/Paternity Leave
- $1000 USD Remote work allowance
- Brand new work laptop
- Employee referral program ($4000 USD for each employee who is successfully referred to the company)
To be considered for this position please provide a copy of your resume and cover letter and/or digital video resume outlining and addressing the selection criteria. VHS values transparency, accountability, support, simplicity, and courage.
We look forward to working with someone who embraces these traits and our start-up culture. Join VHS today and take the next step in your career. Find out more about us and what we value - About Virtually Human
VHS is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, colour, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability. Only shortlisted candidates will be contacted to move forward in the process.
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What does a data scientist in web3 do?
A data scientist in web3 is a type of data scientist who focuses on working with data related to the development of web-based technologies and applications that are part of the larger web3 ecosystem
This can include working with data from decentralized applications (DApps), blockchain networks, and other types of distributed and decentralized systems
In general, a data scientist in web3 is responsible for using data analysis and machine learning techniques to help organizations and individuals understand, interpret, and make decisions based on the data generated by these systems
Some specific tasks that a data scientist in web3 might be involved in include developing predictive models, conducting research, and creating data visualizations.