Data Engineer - Finance and Business
September 11
🏡 Remote – New York
Description
• Assist accounting and finance team in data analysis. • Build scalable and reliable data pipelines that provide accurate data feeds from internal and external systems. • Govern scalable & performant cloud-deployed production relational and non-relational databases. • Collaborate on architecture definitions, always thinking of solutions that are scalable and secure. • Drive data systems to be as near real-time as possible. • Design, document, automate and execute test plans to ensure the quality of the datasets. • Participate in the process of generating and analyzing features.
Requirements
• Understanding of accounting principles, including construction of P&L, balance sheet and cash flow statement. • Experience building data pipelines/ETL and familiarity with design principles. • Expert in Python, PostgreSQL, and PL/pgSQL development and administration of large databases with focus on performance and production support on native cloud deployments. • Experience with scalability solutions and multi-region replication and failover solutions. • Experience with data warehouse technologies (Trino, Clickhouse, etc). • Strong ability to work cross-functionally with teams across Finance, Accounting, and Business Operations to deliver on projects with multiple key stakeholders. • Bachelor’s degree (or its foreign degree equivalent) in Computer Science, Engineering, or a related technical discipline or equivalent experience. • Deep understanding of programming and experience with at least one programming language. • English language proficiency. • Knowledge of Kubernetes and Docker • 4+ years of working experience in relevant data field. • Knowledge of blockchain technology / mining pool industry. • Experience with agile development methodology. • Experience delivering and owning web-scale data systems in production. • Hands-on experience with stream-processing systems (RedPanda and Kafka).
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