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Staff Data Engineer

2 months ago


Old Toronto, Ontario, Canada Ripple Full time
About Ripple

Ripple is a leading technology company that is revolutionizing the way value moves around the world. We are a team of innovators, entrepreneurs, and industry leaders who are passionate about creating a more efficient, secure, and transparent financial system.

Job Summary

We are seeking a highly skilled Staff Data Engineer to join our team. As a Staff Data Engineer, you will be responsible for designing and implementing scalable data ingestion systems for various analytics, ML/AI solutions, and customer-facing data-centric features. You will work closely with our cross-functional teams to analyze complex data flows and dependencies, and design and implement data models for optimal storage and retrieval processes.

Key Responsibilities
  • Design and implement scalable data ingestion systems for various analytics, ML/AI solutions, and customer-facing data-centric features.
  • Analyze complex data flows and dependencies, and design and implement data models for optimal storage and retrieval processes.
  • 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.
  • Strong ownership and communication skills, 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
  • 8+ years of experience in Python and 6+ years of experience with SQL.
  • 8-10 years of experience in data engineering, with 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 a 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.
  • Worked with Databricks platform a huge plus.
  • Experience with AWS, DBX or related technologies.
  • Worked with decentralized technologies and know how to index blockchain data a plus.
What We Offer
  • The opportunity to build in a fast-paced start-up environment with experienced industry leaders.
  • A learning environment where you can dive deep into the latest technologies and make an impact. A professional development budget to support other modes of learning.
  • Thrive in an environment where no matter what race, ethnicity, gender, origin, or culture they identify with, every employee is a respected, valued, and empowered part of the team.
  • Ripple is Flexible First: in-office collaboration for moments that matter is important to our culture, and we give managers and teams the flexibility to decide which 10+ days a month they come in.
  • Weekly all-company meeting - business updates and ask me anything style discussion with our Leadership Team.
  • We come together for moments that matter which include team offsites, team bonding activities, happy hours and more
Benefits
  • Competitive salary, bonuses, and equity.
  • Competitive benefits that cover physical and mental healthcare, retirement, family forming, and family support.
  • Employee giving match.
Why Ripple?

Ripple is a company that is passionate about creating a more efficient, secure, and transparent financial system. We are a team of innovators, entrepreneurs, and industry leaders who are committed to making a positive impact on the world. If you are a highly skilled and motivated individual who is passionate about data engineering and blockchain technology, we encourage you to apply for this exciting opportunity.