51 to 75 of 141 Amazon S3 Jobs in England

or similar role, with a strong focus on data architecture and management. In-depth knowledge of AWS data services, including but not limited to S3, RDS, Redshift, DynamoDB, Glue, Athena, Lambda, EMR. Proficiency in designing and implementing ETL processes, data pipelines, and data integration workflows. Strong understanding of data more »

Stack: (Must have) Proficient in Python and its data processing, analysis, and visualization libraries Experienced with SQL and Timeseries databases Skilled in AWS services: S3, EC2, RDS Knowledgeable in ETL tools like Airflow Proficient in Git, CI/CD, testing tools, and documentation best practices Adheres to quality engineering more »

team's across multiple countries Configuring their AWS environment to improve efficiency within the business Monitoring, alerting and security design Requirements Strong AWS Lambda, S3, Control Tower IaC (Terraform or CDK) CI/CD with Git Containerisation (ECS, Docker) Security and Compliance experience Prior SaaS beneficial If you're more »

Senior DevOps Engineer Location: 🌐 Primarily home based with monthly in person meetings in Manchester 🌐 Salary range: 💷 £70,000 to £80,000 💷 Technology: AWS (EC2, S3, Kinesis, Lambda), Terraform, Prometheus Burns Sheehan is working with a thriving SaaS payments business to help identify their next Senior DevOps Engineer. Reporting to more »

Kubernetes/Container orchestration platform experience Designing, creating and calling HTTP APIs SQL Databases, e.g. Postgres, MySQL Experience in using AWS services - EC2, RDS, S3, Route 53, Elastic search, EKS, Cloudwatch, Cloudfront. Desirable Requirements: CI/CD pipelines setup and config Document-based/No-SQL databases The ELK more »

field. 5+ years of experience in software development with a strong focus on C# and .NET. Proven experience with AWS services such as EC2, S3, Lambda, RDS, and DynamoDB. Hands-on experience with AI and machine learning frameworks and libraries. Strong understanding of software development methodologies, tools, and processes. more »

dimensionally modelled databases for analytics use cases. Knowledge of ETL tools and approaches. Hands-on experience with AWS technologies, including Lambda, SQS, Event Bridge, S3 & RDS. Experience with Python for scripting and automating data tasks. Knowledge of CI/CD approaches for Data Platforms using Bitbucket and Bitbucket Pipelines. more »

s degree in Computer Science, Information Technology, or a related field. Master’s degree preferred. Technical Expertise: Proven experience with AWS data services including S3, Redshift, RDS, Glue, Lambda, Kinesis, and Athena. Strong understanding of data modeling, ETL processes, and data warehousing. Proficiency in SQL and experience with database more »

projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge of building reliable, efficient data applications systems, services more »

projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge of building reliable, efficient data applications systems, services more »

projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge of building reliable, efficient data applications systems, services more »

or a related field. 10+ years of experience in data engineering, with a focus on ETL processes. Deep expertise in AWS services such as S3, Redshift, Lambda, and Glue. Advanced programming skills in Python. Proven track record of leading successful data engineering projects. Strong business acumen and experience in more »

field. 5+ years of experience in data engineering, with a strong background in ETL processes. Proficiency in AWS services, including but not limited to S3, Redshift, Lambda, and Glue. Strong programming skills in Python. Experience with data modeling, database design, and data warehousing. Excellent problem-solving skills and attention more »

infrastructure, with the freedom to propose and implement new solutions. Essential skills and knowledge: * Typescript, Vue3 and NestJS * Linux admin microservice structures, using: EC2, S3, AWS security groups * Docker and/or similar experience * e2e test JS libraries or other * JS/TS unit test libraries or other * Agile more »

process data for modeling • Experience with SQL • Experience in the data/BI space Preferred qualifications • Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift • Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets For further detail please more »

and/or 5 EU working hours Good written & verbal communication skills in English Nice to Have Node js (NPM) Composer AWS EC2, S3, Route56, Cloudfront Vite Typescript Experience in agile scrum methodology Strengths in problem solving, attention to detail, ability to work in a deadline-driven work environment more »

use of GraphQL and REST APIs. We use an immutable infrastructure approach to manage our AWS environments. We heavily use EKS, RDS Aurora, AmazonMQ, S3 and EventBridge in our platform architecture. We practise continuous deployment and release new versions of Kraken around 200 times per day. Engineering standards are more »

a team environment Strong communication skills and a passion for learning and growing in the field of software engineering Desirables: AWS Services (DynamoDB, SQS, S3, Lambda) TCP/IP Unit testing Interview process This will be a 2 stage interview process with interview slots available for next week, so more »

software delivery, continuous integration, and continuous deployment (CI/CD). Develop and maintain scalable and efficient infrastructure using AWS services such as EC2, S3, RDS, and CloudFormation. Deploy and manage containerized applications using Kubernetes for orchestration and management. Implement and maintain infrastructure as code using tools like Terraform … practices. Requirements: Proven experience as a Senior DevOps Engineer or similar role. Strong knowledge of Amazon Web Services (AWS), including CodeCommit & CodePipeline, S3, RDS, CloudFormation, and IAM. Experience with containerization and orchestration tools, particularly Kubernetes. Proficiency in infrastructure as code tools such as Terraform, Ansible, or CloudFormation. … Experience in Apache Airflow, AWS Backup & S3 versioning Solid understanding of CI/CD concepts and experience implementing CI/CD pipelines using tools like Jenkins, GitLab CI/CD, or AWS CodePipeline. Strong scripting skills (e.g., Bash, Python, or PowerShell) for automation and tooling. Familiarity with monitoring and more »

troubleshooting mid-to-large, high availability Storage and Data Protection environments specifically for two or more of the following storage systems: NetApp, EMC, Cloudian, S3, and LTO Tape Library storage systems. Minimum 4 years of experience in planning, documenting, validating, and testing technical solutions in a global enterprise setting. more »

Flexible working 📍Autonomy to design AWS Solutions 📍Become a SME in AWS Services Skills needed 📍SME In AWS services such as - AWS ECR, EKS, S3, DynamoDB and CloudFormation 📍Skilled in Coding such as PHP, Java or Python 📍Previous experience in an Architecture role or DevOps role with Architectural responsibilities more »

HR practices including Diversity and Inclusion. Role : Data Lake Engineer Key Responsibilities Help customers learn and use AWS services such as Athena, Glue, Lambda, S3, DynamoDB, NoSQL, Relational Database Service (RDS), Amazon EMR and Amazon Redshift Deliver on-site technical engagements with customers. This includes more »

Requirements At least two years of professional experience as a data engineer with a proven ability to provide effective data solutions in a production setting. Knowledge of developing real-time data stream systems (ideally Kafka). Proven track record in more »

this represents a unique opportunity for someone to enhance their Digital Consulting career. What you’ll do and bring: Primary skill : Cloud services like S3 lambada Glue redshift Knowledge of database administration and implementation including Amazon Relational Database Service Amazon RDS and Amazon more »

as AWS IAM SME AWS RBAC management and implementation; Azure Entra ID/IAM/RBAC management and implementation; Use of Cloud storage technologies - S3, blob storage; AWS and Azure cross platform logging and monitoring, syslog; Use of Microsoft Sentinel and use of Microsoft Defender; Use of established CI … Experience in AWS RBAC management and implementation; Experience in Azure Entra ID/IAM/RBAC management and implementation; Experience in Cloud storage technologies - S3, blob storage; Experience in AWS and Azure cross platform logging and monitoring, syslog; Experience in Microsoft Sentinel and Microsoft Defender; Experience in use of more »