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gemini
Страна
США
Зарплата
126 000 $ – 180 000 $
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SeniorГибридПолная занятость

Senior Ledger Operations Engineer

Оценка ИИ

Отличная позиция в престижной крипто-компании с прозрачной вилкой зарплаты и сильным социальным пакетом. Работа на стыке финтеха и блокчейна предлагает уникальный профессиональный опыт.


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Сложность вакансии

ЛегкоСложно
Оценка ИИ

Роль требует глубоких знаний в области финансовых систем сверки (reconciliation) и продвинутого стека Big Data (Spark, Kafka, Databricks). Высокая ответственность за точность данных в публичной крипто-компании повышает порог входа.

Анализ зарплаты

Медиана165 000 $
Рынок140 000 $ – 195 000 $
Оценка ИИ

Предложенная вилка $126k - $180k полностью соответствует рыночным стандартам для Senior Data/Data Platform инженеров в Нью-Йорке и Сан-Франциско. Верхняя граница в $180k является конкурентной, особенно с учетом дополнительных бонусов и опционов.

Сопроводительное письмо

I am writing to express my strong interest in the Senior Ledger Operations Engineer position at Gemini. With over five years of experience in building robust reconciliation systems and optimizing complex data pipelines, I have developed a deep expertise in SQL, Spark, and real-time data processing. My background in financial transaction systems aligns perfectly with Gemini's mission to bridge traditional finance with the emerging cryptoeconomy through secure and scalable ledger operations.

In my previous roles, I have successfully implemented ETL processes and managed large-scale data lakes using Databricks and Kafka. I am particularly drawn to this role because of the opportunity to contribute to the 'next generation' of reconciliation tools and work within a data-driven team that values both technical excellence and customer-centricity. I am confident that my technical skills in Python and Scala, combined with my experience in high-stakes financial environments, will allow me to make an immediate impact on your ledger operations and reporting accuracy.

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Откликнитесь в gemini уже сейчас

Присоединяйтесь к Gemini, чтобы строить будущее децентрализованных финансов и работать с передовыми технологиями обработки данных!

Описание вакансии

About the Company

Gemini is a global crypto and Web3 platform founded by Cameron and Tyler Winklevoss in 2014, offering a wide range of simple, reliable, and secure crypto products and services to individuals and institutions in over 70 countries. Our mission is to unlock the next era of financial, creative, and personal freedom by providing trusted access to the decentralized future. We envision a world where crypto reshapes the global financial system, internet, and money to create greater choice, independence, and opportunity for all — bridging traditional finance with the emerging cryptoeconomy in a way that is more open, fair, and secure. As a publicly traded company, Gemini is poised to accelerate this vision with greater scale, reach, and impact.

The Department: Customer Support (Ledger Operations)

As a team within the Support group, the team is data driven and customer-centric. Team members work closely with data scientists, engineers, product managers, and corporate operational stakeholders to reconcile data. Projects range from the very urgent, short sprint to redesigning long-term solutions to improve scalability and automation. Ledger Operations primary goal is to ensure high quality, scalable data reconciliation with proactive monitoring and reducing delays for reactive corrections. This team is responsible for building the “next generation” of reconciliation tools to maintain and expand Gemini’s internal reconciliation processes.

The Role: Senior Ledger Operations Engineer

This role is required to be in person twice a week at either our San Francisco, CA or New York City, NY office.

Responsibilities:

  • Build and maintain API adapters for Gemini trade data
  • Design and optimize data pipelines for ledger operations
  • Automate ETL (Extract, Transform, Load) processes
  • Optimize SQL queries and database performance
  • Contribute to the next generation of ledger reconciliation processes and reporting
  • Collaborate with third-party vendors, Data Analytics team, and Cryptocore engineers
  • Support data processing for the blockchain reconciliation project
  • Develop and maintain data adapters for real-time data processing
  • Create and implement data validation processes
  • Develop customized reporting solutions
  • Investigate and identify root causes of exception reports

Minimum Qualifications:

  • 5+years implementing a reconciliation system while improving existing data pipelines
  • Experience building real-time data solutions, data-lake and data warehousing technologies
  • Experience building and integrating web analytics solutions
  • Advanced SQL skills is a must
  • Experience with gRPC, Websocket and REST API
  • Experience and expertise in Databricks, Spark/PySpark, Kafka streaming, Apache Flink, Airflow, Hadoop etc.
  • Skilled in programming languages Python, Scala, Rust or Go
  • Experience with one or more MPP databases(Redshift, Timescale,  StarRock)
  • Able to identify gaps in existing reconciliation processes
  • Extensive ETL and database experience with financial transaction systems for (banking systems, exchange systems)
  • Experience with Datadog, cloudwatch or other alert monitoring systems

Preferred Qualifications:

  • Financial certifications are not required, but encouraged. Understanding the regulatory landscape in traditional financial markets will lend well as the digital asset space evolves
  • Financial Reporting Requirements for publicly traded companies

It Pays to Work Here

The compensation & benefits package for this role includes:

  • Competitive starting pay
  • A discretionary annual bonus
  • Long-term incentive in the form of a new hire equity grant
  • Comprehensive health plans
  • 401K with company matching
  • Paid Parental Leave
  • Flexible time off

Salary Range: The base salary range for this role is between $126,000 - $180,000 in the State of New York, the State of California and the State of Washington. This range is not inclusive of our discretionary bonus or equity package. When determining a candidate’s compensation, we consider a number of factors including skillset, experience, job scope, and current market data.

In the United States, we offer a hybrid work approach at our hub offices, balancing the benefits of in-person collaboration with the flexibility of remote work. Expectations may vary by location and role, so candidates are encouraged to connect with their recruiter to learn more about the specific policy for the role. Employees who do not live near one of our hubs are part of our remote workforce.

At Gemini, we strive to build diverse teams that reflect the people we want to empower through our products, and we are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. Equal Opportunity is the Law, and Gemini is proud to be an equal opportunity workplace. If you have a specific need that requires accommodation, please let a member of the People Team know.

#LI-AA1

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Навыки

  • SQL
  • Python
  • Scala
  • Rust
  • Go
  • Databricks
  • Apache Spark
  • PySpark
  • Apache Kafka
  • Apache Flink
  • Apache Airflow
  • Hadoop
  • gRPC
  • WebSocket
  • REST API
  • Amazon Redshift
  • TimescaleDB
  • ETL
  • Datadog
  • Amazon CloudWatch

Возможные вопросы на собеседовании

Проверка опыта работы с основным инструментом обработки данных, указанным в вакансии.

Расскажите о самом сложном конвейере данных, который вы оптимизировали с использованием Spark/PySpark. С какими узкими местами вы столкнулись?

Важно понять, как кандидат обеспечивает точность данных в финансовых системах.

Какие стратегии валидации данных вы применяете для обеспечения 100% точности при сверке транзакций в реальном времени?

Вакансия требует навыков работы с API и потоковыми данными.

В чем заключаются основные сложности при интеграции gRPC и WebSocket для передачи финансовых данных по сравнению с традиционным REST?

Проверка умения работать с инцидентами в данных.

Опишите ваш процесс поиска первопричины (root cause analysis), когда в отчете о сверке (exception report) обнаруживается расхождение.

Оценка архитектурного мышления в контексте масштабируемости.

Как бы вы спроектировали систему сверки, способную обрабатывать резкие скачки объема транзакций без задержек в отчетности?

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gemini
Страна
США
Зарплата
126 000 $ – 180 000 $