Ripple - New York, NY
posted 19 days ago
About the position
At Ripple, we're building a world where value moves like information does today. Through our crypto solutions, we're enhancing the global financial system, fostering economic fairness, and expanding opportunities worldwide. Join us in a dynamic environment where growth and collaboration thrive. RippleX supports and contributes to the XRP Ledger, the world's fastest, most sustainable, and consistently reliable blockchain - it's been carbon neutral for over two years! Our focus is on empowering others to leverage the XRPL to solve their challenges, whether that's through building user-friendly libraries dapp-based money transfers, contributing specifications for emerging needs like AMMs and NFTs, building a toolkit for custom "sidechain" networks, or democratizing blockchain infrastructure. Our mission: simplify access to instant decentralized payments by offering infrastructure, tools, and developer support for XRPL innovation. We are seeking a senior data engineer who match our beliefs in the power of this technology. You see the huge potential of this technology and also have the entrepreneurial spirit and technical excellence to realize the vision we have. There is a lot of work to get there but we are committed to building out the best team to achieve this.
Responsibilities
- Design and implement scalable data ingestion flows for the XRPL blockchain ecosystem, including structured and unstructured data, on-chain and off-chain data
- Analyze complex data flows and dependencies, and design and implement data models for optimal storage and retrieval processes
- Design and lead the implementation of the orchestration layer of complex data transformations, serving analytics, ML/AI solutions, and internal and external customer facing analytics needs
- Develop observability systems and proactive/automated exception handling to supervise ingestion and ETL processes and maintain data quality and freshness
- Be a key driver in researching and evaluating new/additional software tools and integrations to assist platform-level database maintenance and development, improving security and efficiency
- Strong ownership and communication skills, be able to support and align efforts to meet data user needs, and coach other engineers on best practices for operating reliable systems and analyzing issue root causes
Requirements
- 5-8 years of experience in software engineering/data engineering roles
- Intermediate to advanced knowledge of SQL and Python
- Demonstrated capability in using data APIs for ingestion, distributed computing technologies (e.g Spark), ETLs, query performance optimization, and application of modern SDLC methods to data pipeline development and data warehousing
- At least Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, or related field
- Strong problem solving and analytical skills (performance analysis, defect analysis, and reporting)
- Strong written and communication skills; ability to convey innovative ideas clearly and effectively
- Organized and meticulous
Nice-to-haves
- Worked with Databricks platform and AWS a huge plus
- Worked with decentralized technologies and know how to index blockchain data a plus
