<h3>About Parcel 🏡</h3>The Destination for Virtual Real EstateTransact, learn, and connect. Parcel makes accessing virtual real estate faster, easier, and more affordable. Featuring a dynamic marketplace with aggregated listings, zero marketplace fees, low gas consumption, and comprehensive data &amp; insights.Parcel is building the most robust land NFT experience through strong relationships with creators, landowners, and emerging worlds. We plan to evolve our marketplace into one that connects users across every aspect of creating their ideal metaverse experience.&nbsp;Backed by world-leading crypto investors, we're searching for builders to help lay the foundation for the metaverse. Join us! 🚀 <h3>Opportunity:</h3><ul><li>Massive ownership, freedom, and the opportunity to work directly with the CTO. Work with a variety of technologies across the stack</li><li>Join a talented team passionate about the metaverse and the future of the virtual economy</li><li>Solve complex issues in one of the fastest-growing categories in NFTs</li></ul><h3> </h3><h3>Responsibilities:</h3><ul><li>Build out data, discovery &amp; analytics products that empower our users</li><li>Lead design, delivery &amp; architecture of infrastructure and technology selection</li><li>Collaborate with other engineers to build toward our shared vision.</li><li>Be comfortable working on the APIs that power Parcel's experiences</li><li>Deliver &amp; own features and projects from beginning to end</li><li>Voice your opinions to the team regarding strategic direction</li></ul><h3> </h3><h3>Desired Skills:</h3><ul><li>5+ years experience specifically as an engineer working in big data / analytics &amp; insights</li><li>Strong data pipeline &amp; DevOps experience working in AWS &amp; or GCP</li><li>BigQuery / Redshift &amp; Data Warehousing experience</li></ul><h3> </h3><h3>Nice to Haves:</h3><ul><li>Crypto experience — particularly working with Ethereum / blockchain nodes</li><li>TensorFlow / Modeling &amp; Deep Learning experience</li><li>Personalization &amp; per user data delivery</li></ul><h3> </h3><h3>Working at Parcel</h3>🤑 Highly competitive salary &amp; equity package🦷 Premium medical, dental, and vision for you and your dependents💻 Computer setup of your choice🌴 Unlimited PTO &amp; mental health days🌎 Quarterly off-sites around the world!

We are looking for a talented data engineer to join our Consumer Data Science team. The group is part of a larger DS team and focuses on customer analytics and modelling, informing all product decisions and creating models to improve efficiency, growth, and security. In order to do this, we use data from various sources, and of varying quality. Our ETL processes serve both the wider company (in the form of clean, simplified tables of aggregated statistics and dashboards) as well as the Data Science team itself (cleaning and processing data for analysis and modelling purposes, ensuring reproducibility).&nbsp;&nbsp;We are looking for someone with experience in designing, building, and maintaining data pipelines and our data lake. As a data engineer, you will be involved in all aspects of data collection, cleaning and processing, ensuring quality and availability of data. You will collaborate closely with data scientists, platform, and front-end engineers, defining requirements and designing new data processes, as well as maintaining and improving existing ones. We are looking for someone who is passionate about high quality data and understands the impact they have in solving real-life problems. Being proactive in identifying issues, digging deep into their source, and developing solutions, are at the heart of this role What you will do<ul><li>Maintain and evolve the current data lake infrastructure and look to evolve it for new requirements</li><li>Maintain and extend our core data infrastructure and existing data pipelines and ETLs&nbsp;</li><li>Provide best-practices and frameworks for data testing and validation and ensure reliability and accuracy of data</li><li>Complement our data scientists by providing a reliable, secure and maintainable modelling framework that can be used to easily deploy models to production&nbsp;</li><li>Design, develop and implement data visualization and analytics tools and data products</li></ul>&nbsp; What you will need<ul><li>Bachelor’s degree in Computer Science, Applied Mathematics, Engineering or any other technology related field</li><li>Previous experience working in a data engineering role</li><li>Fluency in Python</li><li>Previous experience with ETL pipelines</li><li>Experience working with Google Cloud Platform</li><li>In-depth knowledge of SQL and no-SQL databases</li><li>Experience with Git</li></ul>&nbsp; Nice to have<ul><li>Experience with Airflow or Google Composer</li><li>Experience with other programming languages, like Java, Kotlin or Scala</li><li>Experience with Spark or other Big Data frameworks</li><li>Experience with distributed and real time technologies (Kafka, etc..)</li></ul>&nbsp; Compensation and perks<ul><li>Unlimited vacation policy; work hard and take time when you need it.</li><li>Apple equipment.</li><li>Full-time salary based on experience and meaningful equity in an industry-leading company</li><li>Benefits: dependant on employee location</li><li>Flexible hours and smart working options</li></ul>&nbsp; Application<ul><li>CV/Resume or Linkedin profile</li><li>Link to github, stackoverflow, personal website and/or blog (if applicable).</li></ul>

You love data and enjoy using them to solve real-world problems. You are naturally curious and eager to learn. You have an analytical mind, proactively identify issues, and enjoy tackling them and coming up with solutions. You are a team player who enjoys collaborating with others, but is also capable of working independently. You don’t shy away from interacting with people from different backgrounds and are able to communicate data science ideas effectively.&nbsp; What you will do:<ul><li>Apply your expertise in data mining, and data visualization to extract insights that can inform our business and product decisions.</li><li>Understand the day-to-day issues that our business faces, which can be better understood with data</li><li>Develop clear visualizations to convey complicated data in a straightforward fashion</li><li>Work together with the product and/or market teams to identify the key metrics to measure the different aspects of the business. Create and maintain dashboards to visualize those metrics and track KPIs</li></ul>&nbsp; What you will need:<ul><li>Bachelor’s/Master’s degree in STEM (Mathematics, Computer Science, Physics, Engineering, Economics) or equivalent experience</li><li>Understanding of fundamentals of probability and statistics&nbsp;</li><li>Experience with SQL and relational databases</li><li>Attention to detail</li><li>Commercial mind and ability to put numbers into business perspective</li><li>Strong communication skills, experience working in cross-functional teams and communicating technical results to stakeholders</li></ul>&nbsp; &nbsp;Nice to have:<ul><li>Experience with Crypto</li><li>1-2 years commercial experience in related role&nbsp;</li><li>Experience programming in Python and knowledge of the PyData stack (e.g. Pandas, Numpy, Scipy, MatPlotLib, Scikit-learn) for data science</li><li>Experience with finance, trading, product development and/or customer care.</li></ul>&nbsp; Compensation and perks:<ul><li>Unlimited vacation policy; work hard and take time when you need it.</li><li>Apple equipment.</li><li>Full-time salary based on experience and meaningful equity in an industry-leading company</li><li>Benefits: Private Medical Insurance (BUPA), Dental, Pension, Life, Short Term &amp; Long Term Disability.</li><li>Flexible hours and smart working options</li></ul>&nbsp; Application:<ul><li>CV/Resume or Linkedin profile</li><li>Link to github, stackoverflow, personal website and/or blog (if applicable).</li></ul>

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