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Stellar Development Foundation
Senior Data Engineer
6 months ago | 517 views | 11 applications

Senior Data Engineer

Per year
$165,000 To $210,000

About the company

Interested in working on cutting-edge blockchain technology and creating equitable access to the global financial system? Since 2014, the mission-driven team at the Stellar Development Foundation (SDF) has helped fuel the tremendous growth of the Stellar blockchain network, an open-source platform that operates at high-scale today. Developers and companies around the world build on it, and the SDF team is expanding to support the rapidly growing and changing Stellar ecosystem. The launch of Soroban, the new smart contracts platform designed to work well with Stellar, brings a wealth of opportunity for innovation. When you join SDF as a Community Manager, you will be a part of a team that’s leveraging that opportunity to increase developer participation in order to bootstrap the ecosystem of tools, protocols, dapps, and educational resources necessary for Soroban to succeed.

Job Summary

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

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