Uniswap Labs is a company known for developing Uniswap, a decentralized trading protocol facilitating automated transactions between cryptocurrency tokens on the Ethereum blockchain. It provides a platform for users to trade cryptocurrencies directly with one another without the need for intermediaries. Uniswap has become a significant player in the decentralized finance (DeFi) ecosystem, offering users liquidity and opportunities to earn via yield farming.
February 8
Uniswap Labs is a company known for developing Uniswap, a decentralized trading protocol facilitating automated transactions between cryptocurrency tokens on the Ethereum blockchain. It provides a platform for users to trade cryptocurrencies directly with one another without the need for intermediaries. Uniswap has become a significant player in the decentralized finance (DeFi) ecosystem, offering users liquidity and opportunities to earn via yield farming.
• The Uniswap Labs team is building products to unlock value through universal exchange. • We envision a future where digital economies flourish, and markets are transparent, global, and equitable. • When you join Uniswap, you become part of a team that’s reshaping the way value flows on the internet. • We are seeking a highly skilled and experienced Senior Data Analytics Engineer to join our dynamic data engineering team. • The ideal candidate will be responsible for designing, implementing, and optimizing our data analytics infrastructure to support our data-driven decision-making processes. • This role requires deep technical expertise, a passion for working with data, and strong analytical skills.
• Bachelor’s or Master’s degree in Computer Science, Engineering, Statistics, or a related field • 5+ years of experience in data engineering, data analytics, or a related field • Strong proficiency in SQL and experience with relational databases (e.g., PostgreSQL, MySQL) • Experience with big data technologies (e.g., Hadoop, Spark) and data warehousing solutions (e.g., BigQuery, Snowflake) • Proficiency in programming languages such as Python or Scala • Experience with data visualization tools (e.g., Tableau, Power BI, Looker) • Strong understanding of ETL processes, data modeling, and data warehousing concepts • Excellent problem-solving skills and attention to detail • Strong communication and interpersonal skills, with the ability to work effectively in a collaborative environment
• company-paid medical, dental, & vision for you and your dependents • gym subsidy • 401(k) with 4% employer contribution • annual $1,500 education stipend • unlimited and encouraged time off • up to 16 weeks paid parental leave • home office setup stipend for remote employees • daily lunches at NY headquarters
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