Senior Data Engineer

The Uniswap Protocol is an open-source protocol for providing liquidity and trading ERC
20 tokens on Ethereum. It eliminates trusted intermediaries and unnecessary forms of rent extraction, allowing for safe, accessible, and efficient exchange activity. The protocol is non-upgradable and designed to be censorship resistant.

The Uniswap Protocol and the Uniswap Interface were developed by Uniswap Labs.

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.

Our products – the Uniswap Interface, the Uniswap Mobile App, and the Uniswap Extension – are powered by the Uniswap Protocol and Uniswap Platform. The protocol is the largest onchain marketplace, with billions of dollars in weekly volume across thousands of tokens on Ethereum and 8+ additional chains.

When you join Uniswap, you become part of a team that's reshaping the way value flows on the internet.

About the role

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.

• Design, develop, and maintain scalable data pipelines to collect, process, and store large volumes of structured and unstructured data.
• Implement data integration solutions to consolidate data from various sources, ensuring data quality and integrity.
• Optimize data storage and retrieval processes for performance and scalability.

• Develop and maintain data models, dashboards, and reports to support business analytics and decision-making.
• Collaborate with data scientists, analysts, and other stakeholders to understand their data needs and provide robust solutions.
• Conduct exploratory data analysis to discover trends, patterns, and insights that drive business strategy.

• Implement data validation and monitoring processes to ensure data accuracy and consistency.
• Establish and enforce data governance policies and best practices.
• Conduct regular audits and data quality assessments to identify and resolve data issues.

• Work closely with cross-functional teams, including product, engineering, and business teams, to understand data requirements and deliver solutions that meet business needs.
• Communicate complex data insights and technical details to non-technical stakeholders effectively.
• Provide technical guidance and mentorship to junior data engineers and analysts.
• Stay current with the latest trends and technologies in data engineering and analytics.
• Continuously evaluate and implement new tools and technologies to improve data processing, analysis, and visualization capabilities.
• Drive the adoption of best practices in data engineering and analytics across the organization.

• 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., Postgre
  
  SQL, MySQL).
• Experience with big data technologies (e.g., Hadoop, Spark) and data warehousing solutions (e.g., Big Query, 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.

• Experience with cloud data platforms (e.g., AWS, GCP, Azure).
• Knowledge of machine learning and data science techniques.
• Experience with real-time data processing and streaming technologies (e.g., Kafka, Flink).
• Relevant…