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Data Engineer
at Uphold
4 months ago | 825 views | 3 applications

Data Engineer


About the company

Uphold is an easy-to-use investments and payments app. Specialising in digital assets, we serve more than 10 million customers in 150 countries. We open around 3,000 accounts a day and provide consumers with a more versatile and cost-effective home for their daily financial lives. For businesses, we provide regulated infrastructure to connect crypto with fiat currencies. Today, we support over 200 digital assets, 28 national currencies and four precious metals. Our unique trading experience allows customers to trade directly between any supported asset or currency in one step - physical gold to Bitcoin, for example - saving both time and money.

Job Summary

What you’ll be doing primarily:

📍Playing a key role in projects from a data engineering perspective, working with our team of engineers and stakeholders to model the data landscape, obtain data extracts and define secure data exchange approaches. 📍Collaborating with business analysts and data scientists to map data fields to hypotheses and curate, wrangle, and prepare data for use in advanced analytical models. 📍Planning and implementing good practices for data integration. 📍Designing, enhancing, implementing, and monitoring ELT/ETL data pipelines. 📍Automating processes for gathering and exposing internal data to stakeholders. 📍Creating and managing data environments and systems in the Cloud (AWS). 📍Ensuring the scalability of the company’s data stack according to its changing needs and growth. 📍Guaranteeing data quality both on live systems as well as offline datasets.

Required qualifications:

📍Degree, preferred in engineering, computer science, or information systems. 📍Background in a data engineering role addressing complex architectural problems with intuitive but straightforward designs that promote composable systems and maintainable code. 📍Strong experience with large-scale data engineering, namely extracting, transforming, and loading data with a focus on analytics and reporting. 📍Experience working with a data warehouse / data lake environment and leveraging data within distributed systems in a cloud-based environment. 📍Strong knowledge, understanding, and experience modeling data on relational and non-relational databases. 📍Strong knowledge of SQL and Python. 📍Experienced with cloud providers such as AWS or GCP. 📍Experienced with containerized solutions using Docker and/or Kubernetes. 📍Familiarity with methodologies/best practices such as the GitHub Flow, Test Driven Development, Code Coverage, Continuous Testing & Integration. 📍Good analytical, programming, debugging, problem-solving, and critical thinking skills. 📍Creativity, curiosity, and a growth mindset. Team player with an ability to work with cross-functional teams. 📍Excellent communication skills, both orally and written. 📍Fluent written and oral English skills.

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