Description
Data Access Platform - Trainer and Trouble shooter in R
6 months
Based in Newport
Outside Ir35
DBS checked
This post will assist the Data Science lead in delivering classroom training as well as manage some of the more advanced troubleshooting queries.
DAP uses the propriety Cloudera tool CDSW (Cloudera Data science Workbench), along with open source tools such as HUE, Hive and Spark.
The team have run a number of classroom sessions on version control (using Git), using Spark (both Pyspark and SparklyR) for data manipulation and sessions on good practice, specifically around Reproduceable Analytical Pipelines.
The role needs someone who is at ease with presenting and interacting with people and has technical knowledge with a background in one of the following; software engineering, data science, sciences, mathematics. This role will work directly to our Data Science lead who is undertaking the majority of training, providing support to him, increasing the team's ability to deliver more classroom-based training and face to face coaching.
In addition to the Data Science lead, the team includes a software engineer sandwich student as well as Data Science graduates.
Responsibilities:
*Deliver training
*Create training content where needed
*Act as a subject matter expert to support adoption of new technologies
*Provide advice and guidance to other team members on best practice and using the appropriate tools and technologies eg the team has a number of software engineering and data science graduates who have recently joined the team
Relevant Skills and Experience: min 6 months
Teaching experience or confident in explaining technical details
Proficient in coding in R
Fluent in python and pyspark
Experience of contributing code to a large or complex project, eg such as Masters degree
Basic knowledge of running Spark on a Hadoop cluster