9 of 9 Amazon S3 Jobs in Nottinghamshire

delivery of Service Delivery Programs Experience (Essential) A minimum of 2x associate AWS certifications Two or more years’ experience with core AWS Services including Load Balancing, EC2, RDS, CloudFront, S3 and CloudWatch Experience with modernisation legacy architectures such as containerisation or microservices Experience in building and supporting AWS serverless solutions such as API Gateway, Lambda, SQS, Eventbridge and Step More ❯

analysts, helping develop ETL processes, Management Information System and Analytical solutions. Using AWS as our cloud platform our technology stack consists of Step Functions, Glue (Python), Aurora (Postgres) and S3 for the backend with EC2/Node (ReactJS) using AWS API Gateway and Lambda Functions (Python) for the internal web application. The individual will be able to demonstrate a More ❯

analysts, helping develop ETL processes, Management Information System and Analytical solutions. Using AWS as our cloud platform our technology stack consists of Step Functions, Glue (Python), Aurora (Postgres) and S3 for the backend with EC2/Node (ReactJS) using AWS API Gateway and Lambda Functions (Python) for the internal web application. The individual will be able to demonstrate a More ❯

with developers, architects, and DevOps teams to ensure our data infrastructure aligns with business needs and industry standards. Your Responsibilities Manage, configure and optimise PostgreSQL databases hosted on Amazon Aurora and Oracle databases hosted on on-premise Exadatas and AWS RDS. Support the migration of high-performance, mission-critical databases from on-premise Exadata's to AWS Aurora … strategies, and a strong understanding of Postgres' vacuum/MVCC process. Proven experience with query optimization and database performance tuning. Hands-on experience with AWS services such as EC2, S3, VPC, and IAM. Solid understanding of database security principles and compliance frameworks Experience implementing robust backup and recovery strategies. Proficiency with infrastructure automation tools like Terraform or CloudFormation. Familiarity More ❯

decisions. Key Experience Required Expertise in SQL Server (approx. 75% of the role) including performance tuning, data warehousing, and reporting. Experience with AWS data services (approx. 25%), particularly RDS, S3, Lambda, EventBridge, and building data pipelines in cloud-native environments. Proven delivery of dimensional/Kimball data models in collaboration with Data Analysts. Strong proficiency with Power BI, including More ❯

and architectural decisions. What You’ll Bring Experience leading DevOps efforts or teams in a dynamic, fast-paced setting. Strong expertise in AWS services including networking, IAM, EC2, RDS, S3, and container orchestration with EKS. Demonstrated ability to manage production systems, resolve incidents, and implement effective change controls. A pragmatic approach to balancing technical, security, and operational priorities. Bonus More ❯

decisions. Key Experience Required: Expertise in SQL Server (approx. 75% of the role) including performance tuning, data warehousing, and reporting. Experience with AWS data services (approx. 25%), particularly RDS, S3, Lambda, EventBridge, and building data pipelines in cloud-native environments. Proven delivery of dimensional/Kimball data models in collaboration with Data Analysts. Strong proficiency with Power BI, including More ❯

equivalent experience, with ideally 3 years on AWS. AWS solution design and migration experience, and AWS certifications will be considered an advantage. Proficiency in AWS services such as EC2, S3, RDS, Lambda, and VPC. Knowledge of integrating AWS with other cloud providers or on-premises systems. Experience with one or more cloud virtualization technologies: VMware, SCVMM, Public Cloud (Azure More ❯

focus on data platforms and cloud data solutions . Hands-on experience designing data solutions on Azure (e.g., Azure Data Lake, Synapse, Data Factory) and AWS (e.g., Redshift, Glue, S3, Lambda) . Strong background in data architecture , including data modeling, warehousing, real-time and batch processing, and big data frameworks. Proficiency with modern data tools and technologies such as More ❯