Summary

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:

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

Responsibilities:

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

Minimum Qualifications:

1. 5+years implementing a reconciliation system while improving existing data pipelines
2. Experience building real-time data solutions, data-lake and data warehousing technologies
3. Experience building and integrating web analytics solutions
4. Advanced SQL skills is a must
5. Experience with gRPC, Websocket and REST API 
6. Experience and expertise in Databricks, Spark/PySpark, Kafka streaming, Apache Flink, Airflow, Hadoop etc.
7. Skilled in programming languages Python, Scala, Rust or Go
8. Experience with one or more MPP databases(Redshift, Timescale, StarRock)
9. Able to identify gaps in existing reconciliation processes
10. Extensive ETL and database experience with financial transaction systems for (banking systems, exchange systems)
11. Experience with Datadog, cloudwatch or other alert monitoring systems

Preferred Qualifications:

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

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.

Skills

• Communications Skills
• Development
• Software Engineering
• Team Collaboration