We are currently looking for a Senior Data Engineer who will be responsible for designing and developing data processing and data persistence software components for solutions, which handle data at scale. You will be working in agile teams, Lead Data Engineers providing strong development leadership for team members and take responsibility for the quality of the codebase as well as the match to user needs.
Experience we would like to see
* Software development experience with distributed data storage and processing technologies including Hadoop and Spark and using JVM languages.
* Experience of leading the development of substantial components for large-scale data processing solutions, taking responsibility for non-functional needs of ETL/ELT data processing pipelines such as robustness, performance and security.
* Develop including the design, code, test defect resolution and operational readiness, and includes setting the standards for these activities.
* Coaching and mentoring experience in data development disciplines with the ability to gain the respect of a junior team.
Other useful experience
* Software development experience with Cloudera’s distribution of Apache Hadoop and with Python.
* Experience of data visualisation and data complex data transformations, including ETL tools such as Talend.
* Able to productionise machine learning algorithms.
* Understanding of text processing including Natural Language Processing.
* Experience with steaming and event-processing architectures including technologies such as Kafka and change-data-capture products.
* Data modelling experience with data storage technology, such as document, graph, log stores and other non-relational platforms.
* Open source contributor
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