Amazon SQS Jobs in Nottingham

Amazon Simple Queue Service (Amazon SQS)
Nottinghamshire > Nottingham

The following table provides summary statistics for permanent job vacancies advertised in Nottingham with a requirement for Amazon SQS skills. Included is a benchmarking guide to the salaries offered in vacancies that have cited Amazon SQS over the 6 months to 7 May 2024 with a comparison to the same period in the previous 2 years.

6 months to
7 May 2024
Same period 2023 Same period 2022
Rank 68 - -
Rank change year-on-year - - -
Permanent jobs citing Amazon SQS 4 0 0
As % of all permanent jobs advertised in Nottingham 0.49% - -
As % of the Cloud Services category 1.14% - -
Number of salaries quoted 0 0 0
Median annual salary (50th Percentile) - - -
Nottinghamshire median annual salary - - -

All Cloud Skills
Nottingham

Amazon SQS is in the Cloud Services category. The following table is for comparison with the above and provides summary statistics for all permanent job vacancies advertised in Nottingham with a requirement for cloud computing skills.

Permanent vacancies with a requirement for cloud computing skills 352 247 445
As % of all permanent jobs advertised in Nottingham 42.98% 44.03% 52.54%
Number of salaries quoted 281 199 355
10th Percentile £30,000 £34,850 £28,800
25th Percentile £40,000 £45,000 £40,625
Median annual salary (50th Percentile) £52,500 £55,000 £52,500
Median % change year-on-year -4.55% +4.76% +9.38%
75th Percentile £65,000 £70,625 £68,750
90th Percentile £77,750 £77,500 £82,500
Nottinghamshire median annual salary £52,500 £55,000 £50,000
% change year-on-year -4.55% +10.00% +4.17%

Amazon SQS
Job Vacancy Trend in Nottingham

Job postings citing Amazon SQS as a proportion of all IT jobs advertised in Nottingham.

Job vacancy trend for Amazon SQS in Nottingham

Amazon SQS
Salary Trend in Nottingham

3-month moving average salary quoted in jobs citing Amazon SQS in Nottingham.

Salary trend for Amazon SQS in Nottingham

Amazon SQS
Co-occurring Skills and Capabilities in Nottingham 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:

Application Platforms
1 4 (100.00%) Apache Spark
Cloud Services
1 4 (100.00%) Amazon ECS
1 4 (100.00%) Amazon Kinesis
1 4 (100.00%) Amazon S3
1 4 (100.00%) Amazon SageMaker
1 4 (100.00%) AWS
1 4 (100.00%) AWS CloudFormation
1 4 (100.00%) AWS CodeBuild
1 4 (100.00%) AWS CodePipeline
1 4 (100.00%) AWS Lambda
1 4 (100.00%) Datadog
1 4 (100.00%) GitHub
1 4 (100.00%) Serverless
Database & Business Intelligence
1 4 (100.00%) Amazon Redshift
1 4 (100.00%) DynamoDB
General
1 4 (100.00%) Finance
1 4 (100.00%) Social Skills
Job Titles
1 4 (100.00%) Data Engineer
1 4 (100.00%) Senior
1 4 (100.00%) Senior Data Engineer
Libraries, Frameworks & Software Standards
1 4 (100.00%) AWS CDK
1 4 (100.00%) Pandas
1 4 (100.00%) PySpark
Processes & Methodologies
1 4 (100.00%) CI/CD
1 4 (100.00%) Infrastructure as Code
1 4 (100.00%) Machine Learning
Programming Languages
1 4 (100.00%) Python
Vendors
1 4 (100.00%) Splunk