Job Description

Summary

The Department: Growth / Operations (Ledger Operations)

As a team within the Support group, the Ledger Operations 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:

Staff Ledger Operations Engineer

Responsibilities:

  1. Mentor engineers while also self-managing as an individual contributor
  2. Design data pipelines and automate ETL processes and SQL optimization, which will influence the “next generation” for Gemini’s ledger reconciliation processes and reporting (including improving the data warehouse changes, if necessary)
  3. Partner with the third party vendors, Data Analytics team and Crypto Core engineers for data processing
  4. Be responsible for maintaining and creating data adaptors to process real-time data, create data validation processes, reporting, and root cause analysis for exception reports

Minimum Qualifications:

  1. 7+ years experience with schema design and dimensional data modeling
  2. 7+years with design and implementing a reconciliation system while improving existing data pipelines
  3. Must have experience with cryptocurrency data 
  4. Must have experience in trade or ledger reconciliation
  5. Must have advanced SQL skills and database design experience 
  6. Experience building real-time data solutions and processes to automate reconciliation analysis and reporting
  7. Experience building and integrating web analytics solutions
  8. Experience with FIX, Kafka, REST, and other data messaging types
  9. Experience and expertise in Airflow, Databricks, Spark, Hadoop etc.
  10. Skilled in programming languages Python and/or Java
  11. Experience with one or more MPP databases(Redshift, Bigquery, Snowflake, etc)
  12. Extensive ETL and database experience with financial transaction systems for (banking systems, exchange systems)
  13. Extensive experience in financial reporting for “above the line” revenue for building annual, audited financials
  14. Strong technical and business communication skills

Preferred Qualifications:

  1. Experience with financial Reporting Requirements for publicly traded companies

It Pays to Work Here

The compensation & benefits package for this role includes:

  1. Competitive starting salary
  2. A discretionary annual bonus
  3. Long-term incentive in the form of a new hire equity grant
  4. Comprehensive health plans
  5. 401K with company matching
  6. Paid Parental Leave
  7. Flexible time off

Salary Range:

The base salary range for this role is between $152,000 - $190,000 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
  • Analytical Thinking
  • Communications Skills
  • Database Management
  • Development
  • Java
  • Python
  • SQL
  • Ledgers
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