A top tier bank is looking for a data engineer to join their team in the City of London.
Data Engineer:
- Ability to process and rationalize structured data, message data and semi/unstructured data and ability to integrate multiple large data sources and databases into one system
- Proficient understanding of distributed computing principles and of the fundamental design principles behind a scalable application
- Strong knowledge of the Big Data eco system, experience with Hortonworks/Cloudera platforms
- Practical experience in using HDFS
- Practical expertise in developing applications and using querying tools on top of Hive, Spark (PySpark)
- Strong Scala skills
- Experience in Python, particularly the Anaconda environment and Python based ML model deployment
- Experience of Continuous Integration/Continuous Deployment (Jenkins/Hudson/Ansible)
- Experience with using GIT/GITLAB as a version control system.
Nice to Haves
- Knowledge of at least one Python web framework (preferably: Flask, Tornado, and/or twisted)
- Basic understanding of front-end technologies, such as JavaScript, HTML5, and CSS3 would be a plus
- Knowledge of Elastic Search Stack (ELK)
- Experience with Google Cloud Platform (Data Proc / Dataflow)
Domain Knowledge:
- Knowledge of and experience using data models and data dictionaries in a Banking and Financial Markets context. Knowledge of Trade Finance or Securities Services particularly useful.
- Knowledge of one or more of the following domains (including market data vendors):
- Party/Client
- Trade
If you are interested in this role, please apply below or contact me for more information.
Eames Consulting is acting as an Employment Business in relation to this vacancy.
