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SENIOR DATA ENGINEER/DEVELOPER – DATA PLATFORMS (Based in UK, Richmond, Greater London)

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IT/Technical & Product Development
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Reed Exhibitions
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REE00BPL Requisition #
Thanks for your interest in the SENIOR DATA ENGINEER/DEVELOPER – DATA PLATFORMS (Based in UK, Richmond, Greater London) position. Unfortunately this position has been closed but you can search our 1,033 open jobs by clicking here.

EXPERIENCE

•As a Senior Data Engineer/Developer with experience implementing enterprise scale relational & NoSQL/big data solutions having led the discovery, architecture, design, planning, deployment and maintenance of data-led solution.

•You should also have experience of running, enhancing and optimisation techniques for high volume usage such as sharding, clustering, distribute datasets, indexing strategies, IO, caching, reporting, BI, and security/access controls.

•Experience of transferring high volume data between database and business systems and of automating such processes.

•You should demonstrate building team and stakeholder confidence through deep knowledge, and being collaborative and customer focused.

•You will have extensive experience of collaborating with business and data scientists to maximise their value through learning, optimisation and innovation.

•Confident in your ability rapidly to learn the technologies, you will be a life-long learner and follower of continuous improvement principles, which you apply in your professional development as well as those of your systems. 

•At ease with troubleshooting in complex environments, with experience of profiling, high volume logging strategies and log analysis.

•You actively participate in the data engineering community.


Relevant Technology & Practices

You will have experience in many of the following technologies and practices, or equivalent, and be ready to learn where gaps exist.

•Agility: Scrum, Kanban, cross-functional teams

•Design: Relational and non-relational (NoSQL, big data) data store design, Cloud data storage formats and techniques, transformation/querying techniques, ETL, map reduce, projections, data warehouse and data lake solutions.

•Languages & Interfaces: In-depth experience of SQL, S3, Hadoop, Redshift, Glue, ElasticSearch, PowerBI. At least one programmatic language, e.g. C#, Java, Python, R. 

•Scale: Expert in optimisation tools and practices: profilers, loggers, indexing strategies, clusters, sharding.

•Business information: Familiarity with BI/MI concepts, multi-dimensional data repositories, warehouses, lakes. Statistical functions, multi-dimensional array transposition and aggregation, value conversion, formatting, localisation, integrity preservation, data science concepts (data mining, machine learning).

•Software Factory: Familiarity with current software development practices: CI/CD, automated testing, blue/green deployment, feature toggles.

•Cloud: Demonstrable commercial exposure to at least one enterprise cloud environment, e.g. AWS, Azure, Google. Exposure to AWS products (S3, SQS, Athena, SNS, Lambdas) highly beneficial.

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