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Software Engineer
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- Data Acquisition - an ETL platform for research and production which scales to multi-terabyte datas ets ; and can index all data at Man for re-usability and discoverability.
- Data Governance - cataloguing the thousands of datasets at Man ; allowing discovery, permission ing , data quality, and end-to-end data lineage.
- We implement the systems that require the highest data throughput in Java. Within Data Engineering we use Dataiku, Snowflake, Prometheus, and ArcticDB heavily.
- We use Kafka for data pipelines, Apache Beam for ETL, Bitbucket for source control, Jenkins for continuous integration, Grafana + Prometheus for metrics collection, ELK for log shipping and monitoring, Docker for containerisation, Kubernetes for container orchestration, OpenStack for our private cloud, Ansible for architecture automation, and Slack for internal communication.
- o Experience in quantitative software development within a front-office setting, such as at a hedge fund, proprietary trading firm, or investment bank
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