In this role, you will:

📍Design, build, orchestrate, and maintain data pipelines that give us a unique perspective into the liquidity, adoption, and usage of the Stellar network. 📍Conduct ad hoc data analysis to clean, transform, and distill key insights about the Stellar Network. 📍Create engaging data visualizations and dashboards to help stakeholders easily understand and act upon recommendations. 📍Improve observability and maintainability of our data marts, including usage, quality, and freshness. 📍Translate business priorities into measurable insights that aid in data-driven decision-making. 📍Improve data accessibility by encouraging self-service adoption of 📍Dashboards, KPIs, and SQL Interfaces.

You have:

📍5+ years of professional data engineering, ML, or analytics experience 📍Modern data warehousing fundamentals with experience in an ETL framework like dbt, Fivetran, Databricks, or Talend 📍Deep expertise in SQL, especially working with raw, large datasets 📍Proficiency with scripting languages such as Python or R 📍Familiarity with software engineering best practices 📍Experience scheduling and orchestrating pipelines and managing complex data dependencies 📍A passion for exploring complex datasets and learning business domains 📍Data Governance best practices: data cataloging, quality control, and usability 📍Experience building compelling data visualizations with dashboard tools 📍Excellent communication skills, with the ability to explain complex data insights to non-technical stakeholders 📍Enthusiasm about working on a small, growing team with the freedom to innovate and set direction