Data Science Engineer - Remote Working Opportunity
- Recruiter
- I4 Recruitment Ltd
- Location
- Newcastle upon Tyne
- Salary
- £30k - 45k per year
- Posted
- 20 Jun 2017
- Closes
- 18 Jul 2017
- Ref
- PC66825
- Contact
- Peter Campbell
- Sectors
- IT, Programming, Software Development
- Contract Type
- Permanent
- Hours
- Full Time
Data Science Engineer - Home Based £30-45k
This is an excellent opportunity to work with a superb software house working on a remote basis.
Work closely with data scientists and Product team members to understand which data is required to be available
Maintain and improve data warehouse infrastructure
Develop ETL processes
Develop applications/scripts to produce new data sets from different sources (S3, relational databases, data warehouse)
Designing data capture and propose changes in process / data capture in existing systems
Implement/assist data scientist in developing and deploying production workflows for taking data in real-time or periodically from sites / business functions, passing the data through the developed models and producing the relevant reporting without human intervention
Work with and support data scientists and product researchers on getting required data
Develop simple front ends for facilitating data visualisation
Experience require
3+ years experience in data engineering
Experience with cloud computing
Wide range of experience in software development
Knowledge of machine learning/data analysis
Programming Skills
Good knowledge of Scala and/orJava
Advanced knowledge of software patterns and best practices
Good knowledge of data structures and algorithms
Data Processing Skills
Able to process data using distributed data-processing frameworks
including knowledge of main big data frameworks/infrastructure (e.g: Spark, Hadoop FS, YARN,MapReduce, etc)
Good knowledge of AWS services with emphasis in: S3, EMR,RedShift, Kinesis, DynamoDB
Good knowledge of best practices for ETL processes
Database Skills
Advanced knowledge in designing analytical databases
Good knowledge maintaining and improving data warehouses
Advanced knowledge of SQL