Data Engineer - Python & Spark - Inside IR35

Data Engineer - Python & Spark - Inside IR35
  • £590 per Annum
  • Contract
  • London / Remote, London, England, UK EC3M 4PB London / Remote London GBR EC3M 4PB
Job Ref: 50216065
Sector: Software Development
Date Added: 23 August 2021

Data Engineer - Python & Spark - Remote Working - Inside IR35

Our client, a leading global consultancy, are currently looking to hire Data Engineers with experience in Python and Spark to join the team on a contract basis.

As the ideal candidate you will have strong working knowledge of Python, Spark, and SQL.

Role and Requirements:

  • Work closely with Business Analysts to understand the core business problems and deliver efficient IT solutions; communicate efficiently and effectively
  • Understanding of cloud technologies and/or big data platforms - AWS. Experience architecting Big Data solutions with AWS products (Redshift, RDS, S3, Glue, Athena, EMR, Spark, etc.)
  • Have experience building and optimising big data pipelines, architectures, and data sets in AWS.
  • Data modelling skills (ETL development, data warehousing, data lakes)
  • Database design and administrator experience with RDBMS. (RDS, Redshift, SQL Server)
  • Effectively diagnosing, testing, and resolving complex problems related with data infrastructure, including performance tuning and optimisation.
  • Familiar with software development best practices and their applications to analytics (version control, testing, CI/CD, automation)

Desired Skills

SQL (Structured Query Language), Apache Spark, AWS Glue, AWS Redshift, Big Data Analytics

If you feel your skills and experience would make you a good fit for this role, please apply!

We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation, gender reassignment, marriage and civil partnerships, pregnancy or maternity or age

22/09/2021 09:53:43
GBP 590 590 Annum
Contact Consultant:
Tom Vigors

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