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Data Engineer (SC cleared)

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Job Description

Data Engineer
4 months – with extensions
Remote
Active SC clearance required
£640 per day inside ir35

REQUIRED

Strong understanding of data concepts – data types, data structures, schemas (both JSON and Spark), schema management etc
Strong understanding of complex JSON manipulation
Experience working with Data Pipelines using a custom Python/PySpark frameworks
Strong understanding of the 4 core Data categories (Reference, Master, Transactional, Freeform) and the implications of each, particularly managing/handling Reference Data.
Strong understanding of Data Security principles – data owners, access controls – row and column level, GDPR etc including experience of handling sensitive datasets
Strong problem solving and analytical skills, particularly able to demonstrate these intuitively (able to work a problem out, not follow a work instruction to resolve)
Experience working in a support role would be beneficial, particularly able to demonstrate incident triage and handling skills/knowledge (SLAs etc)
Fundamental linux system administration knowledge – ssh keys and config etc, Bash CLI and scripting, Environment variables
Experience using browser based IDEs (Jupyter Notebooks, RStudio etc)
Experience working in a dynamic Agile environment (SAFE, scrum, sprints, JIRA etc)
Python (as a programming language, not just being able to write basic scripts)LANGUAGES / FRAMEWORKS

JSON
YAML
Python (as a programming language, not just able to write basic scripts)
Pydantic experience DESIRABLE
SQL
PySpark
Delta Lake
Bash (both CLI usage and scripting)
Git
Markdown
Scala DESIRABLE
Azure SQL Server as a HIVE Metastore DESIRABLETECHNOLOGIES

Azure Databricks
Apache Spark
Delta Tables
Data processing with Python
PowerBI (Integration / Data Ingestion)
JIRAIf you meet the above requirements, please apply for the vacancy to be contacted by an Experis Consultant. If you haven't been contacted within 2 weeks of application, please consider the vacancy closed

Job Summary

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City of London Location
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