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Work on and lead major projects involving a mix of database technology. Some example projects in flight are listed above. In general these projects span database engineering (e.g. deploying, scaling or managing database infrastructure) and working with other teams to solve business problems (for example schema design, data architecture planning, technology selection) Be part of a global “on-call” schedule for database technology. Develop automation to minimize operational toil, in accordance with SRE principles.
Significant engineering experience working with open source database, solving challenging business problems with cutting edge technology. Comfort using a programming language for automation tasks (Python, Go, etc.) Comfort using the Linux shell to understand and troubleshoot an overall system Proficiency with SQL Bonus Points: Experience working on petabyte scale data warehouses and distributed database systems Industry experience in finance/trading, particularly supporting post-trade processing systems Python, pandas, etc. DevOps / SRE mindset Kafka experience Database Replication ETL pipeline experience Jenkins Knowledge of Splunk Proficiency with AI coding tools
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