17 of 17 Amazon S3 Jobs in the East Midlands

the design development and implementation of complex data pipelines and ETL/ELT processes using cloud-native technologies (e.g. AWS Glue AWS Lambda AWS S3 AWS Redshift AWS EMR). Develop and maintain data quality checks data validation rules and data lineage documentation. Collaborate with data analysts data scientists More ❯

and current hands on advanced full-stack development skills, including both front-end (HTML, CSS, JavaScript) and back-end (e.g., Node.js, Python, Ruby, lambda S3 DynamoDB etc) Extensive experience with the AWS cloud platform Proficient in using version control systems (e.g., Git) and experience with CI/CD pipelines. More ❯

and use of Atlassian tools (e.g., Jira, Confluence ) Working with open-source databases like PostgreSQL and cloud platforms, particularly AWS (EC2, SQS, RDS, DynamoDB, S3, Route53, KMS, CloudWatch) Agile methodologies (Scrum, Kanban) and modern development practices like TDD and BDD Essential: Java 17+, Spring Boot, Spring Data JPA, Spring More ❯

and use of Atlassian tools (e.g., Jira, Confluence ) Working with open-source databases like PostgreSQL and cloud platforms, particularly AWS (EC2, SQS, RDS, DynamoDB, S3, Route53, KMS, CloudWatch) Agile methodologies (Scrum, Kanban) and modern development practices like TDD and BDD Essential: Java 17+, Spring Boot, Spring Data JPA, Spring More ❯

and use of Atlassian tools (e.g., Jira, Confluence ) Working with open-source databases like PostgreSQL and cloud platforms, particularly AWS (EC2, SQS, RDS, DynamoDB, S3, Route53, KMS, CloudWatch) Agile methodologies (Scrum, Kanban) and modern development practices like TDD and BDD Essential: Java 17+, Spring Boot, Spring Data JPA, Spring More ❯

and use of Atlassian tools (e.g., Jira, Confluence ) Working with open-source databases like PostgreSQL and cloud platforms, particularly AWS (EC2, SQS, RDS, DynamoDB, S3, Route53, KMS, CloudWatch) Agile methodologies (Scrum, Kanban) and modern development practices like TDD and BDD Essential: Java 17+, Spring Boot, Spring Data JPA, Spring More ❯

and use of Atlassian tools (e.g., Jira, Confluence ) Working with open-source databases like PostgreSQL and cloud platforms, particularly AWS (EC2, SQS, RDS, DynamoDB, S3, Route53, KMS, CloudWatch) Agile methodologies (Scrum, Kanban) and modern development practices like TDD and BDD Essential: Java 17+, Spring Boot, Spring Data JPA, Spring More ❯

and use of Atlassian tools (e.g., Jira, Confluence ) Working with open-source databases like PostgreSQL and cloud platforms, particularly AWS (EC2, SQS, RDS, DynamoDB, S3, Route53, KMS, CloudWatch) Agile methodologies (Scrum, Kanban) and modern development practices like TDD and BDD Essential: Java 17+, Spring Boot, Spring Data JPA, Spring More ❯

Have deep knowledge on event driven systems using frameworks like Active MQ, Kafka, AWS Kinesis Have a working experience of AWS data pipelines, Glue, S3 and Glacier storage, file transfer solutions like Data Sync. If you are interested in this position and would like to learn more, please send More ❯

frameworks such as LangChain, CrewAI, AutoGen, and DSPy. AWS Cloud & MLOps: Deploy scalable machine learning workloads on AWS using services like SageMaker, Bedrock, Lambda, S3, DynamoDB, ECS, and EKS. End-to-End AI Product Development : Work across the full ML lifecycle, from data collection and preprocessing to model evaluation More ❯

frameworks such as LangChain, CrewAI, AutoGen, and DSPy. AWS Cloud & MLOps: Deploy scalable machine learning workloads on AWS using services like SageMaker, Bedrock, Lambda, S3, DynamoDB, ECS, and EKS. End-to-End AI Product Development : Work across the full ML lifecycle, from data collection and preprocessing to model evaluation More ❯

cloud services and components Experience of developing on Apache Spark Experience of developing with AWS cloud services including (but not limited to) AWS Glue, S3, Step Functions, Lambdas, EventBridge and SQS BDD/TDD experience Jenkins CI/CD experience Application Lifecycle Management Tools - BitBucket & Jira Remain up to More ❯

education None Preferred education Associate's Degree/College Diploma Required technical and professional expertise Must be able to build new DevOps pipelines AWS S3 RDS Route 53 IAM EKS Secrets Manager ECR Terraform Deployment of AWS Resources Pipelines OCI Observability ELK Dynatrace Prometheus Others Vault RedHat As an More ❯

education None Preferred education Associate's Degree/College Diploma Required technical and professional expertise Must be able to build new DevOps pipelines: AWS S3, RDS, Route 53, IAM, EKS, Secrets Manager, ECR Terraform Deployment of AWS Resources, Pipelines, OCI Observability: ELK, Dynatrace, Prometheus Others: Vault, RedHat As an More ❯

education None Preferred education Associate's Degree/College Diploma Required technical and professional expertise Must be able to build new DevOps pipelines AWS S3 RDS Route 53 IAM EKS Secrets Manager ECR Terraform Deployment of AWS Resources Pipelines OCI Observability ELK Dynatrace Prometheus Others Vault RedHat As an More ❯

in our modern technology stack which includes React, Node.js and Typescript Experience with the AWS services such as Amazon Cognito, DynamoDB Lambda, S3, Eventbridge, AppSync, API Gateway and SQS Experience using Serverless stack to build and deploy serverless applications into AWS cloud Exceptional communication skills within the More ❯

develop efficient and high-quality solutions Collaborate with the team to design, develop, and test applications that meet client requirements Work closely with AWS S3 to ensure seamless integration and enhance data processing capabilities Handle JSON and XML formats to process and extract valuable insights from complex data sets … Technologies and migration to the cloud at pace Strong proficiency in regular expressions, PDL, and meta programming In-depth knowledge of interactions with AWS S3 and handling JSON and XML formats Familiarity with Snowflake Ability to secure account details and implement data protection measures Benefits: Opportunity to work with More ❯