PySpark Jobs in Newport

PySpark - Spark Python API
South Wales > Newport

The following table provides summary statistics for permanent job vacancies advertised in Newport with a requirement for PySpark skills. Included is a benchmarking guide to the salaries offered in vacancies that have cited PySpark over the 6 months to 27 April 2024 with a comparison to the same period in the previous 2 years.

6 months to
27 Apr 2024
Same period 2023 Same period 2022
Rank 29 - -
Rank change year-on-year - - -
Permanent jobs citing PySpark 1 0 0
As % of all permanent jobs advertised in Newport 0.61% - -
As % of the Libraries, Frameworks & Software Standards category 11.11% - -
Number of salaries quoted 1 0 0
10th Percentile - - -
25th Percentile £43,538 - -
Median annual salary (50th Percentile) £46,060 - -
75th Percentile £48,582 - -
90th Percentile - - -
South Wales median annual salary £59,280 £52,500 -
% change year-on-year +12.91% - -

All Software Libraries and Frameworks
Newport

PySpark is in the Software Libraries and Frameworks category. The following table is for comparison with the above and provides summary statistics for all permanent job vacancies advertised in Newport with a requirement for technical specification, industry standards, software libraries and framework skills.

Permanent vacancies with a requirement for technical specification, industry standards, software libraries and framework skills 9 37 63
As % of all permanent jobs advertised in Newport 5.49% 19.17% 24.51%
Number of salaries quoted 9 33 48
10th Percentile £26,500 £37,000 £30,000
25th Percentile £42,500 £42,500 £39,188
Median annual salary (50th Percentile) £50,000 £51,104 £45,000
Median % change year-on-year -2.16% +13.56% -5.26%
75th Percentile £52,936 £64,250 £60,000
90th Percentile £55,349 £83,699 £64,500
South Wales median annual salary £52,500 £51,104 £50,000
% change year-on-year +2.73% +2.21% +11.11%

PySpark
Co-occurring Skills and Capabilities in Newport by Category

The follow tables expand on the table above by listing co-occurrences grouped by category. The same employment type, locality and period is covered with up to 20 co-occurrences shown in each of the following categories:

Cloud Services
1 1 (100.00%) Azure
1 1 (100.00%) Azure Data Factory
1 1 (100.00%) Azure DevOps
Job Titles
1 1 (100.00%) Data Engineer
Processes & Methodologies
1 1 (100.00%) Agile
1 1 (100.00%) Business Intelligence
1 1 (100.00%) Data Engineering
1 1 (100.00%) Data Governance
1 1 (100.00%) Data Integration
1 1 (100.00%) Data Management
1 1 (100.00%) Data Modelling
1 1 (100.00%) Data Pipeline
1 1 (100.00%) Data Science
1 1 (100.00%) DevOps
1 1 (100.00%) ETL
1 1 (100.00%) Scrum
Programming Languages
1 1 (100.00%) Python
Qualifications
1 1 (100.00%) Security Cleared
Vendors
1 1 (100.00%) Databricks
1 1 (100.00%) Microsoft