13 of 13 Remote/Hybrid Amazon S3 Jobs in the South West

Looking For in a Cloud Engineer Strong experience working with AWS cloud services Knowledge of AWS technologies including EC2, ECS, EKS, Lambda, S3, RDS, IAM and related services Experience with Infrastructure as Code tools such as Terraform, CDK or CloudFormation Scripting experience using Python, Bash or Shell Experience using ...

experience. Strong full stack development skills with TypeScript (front end and back end). Solid hands-on experience with AWS (e.g. Lambda, API Gateway, S3, DynamoDB, etc.). Demonstrable experience in rapid prototyping and AI-assisted/"vibe coding" workflows. Exposure to AI, Generative AI and/or Data ...

Learning models using Python Experience with frameworks such as PyTorch, TensorFlow, Scikit-learn or XGBoost Knowledge of AWS cloud services including SageMaker, Lambda and S3 Experience with MLOps tools such as MLflow, Weights & Biases or Data Version Control Experience designing, testing and evaluating machine learning experiments Knowledge of Generative ...

Technical Skills Dataiku Data Science Studio (DSS) Python Pandas SQL ETL principles and practices Git Jenkins Azure DevOps (ADO) Jira AWS (EC2, EBS, RDS, S3, EKS) Terraform Ansible CI/CD deployment and automation Unix systems administration Shell scripting Databricks SQL Data Warehouse RBAC Security Model LDAP Integration PowerBI ...

team environments and adapting to changing requirements Understanding of software design principles and engineering best practices Experience with cloud platforms (AWS, GCP), object storage (S3), or event/streaming systems (Kafka, Redis) Familiarity with Git for version control and deployment tooling such as GitLab CI/CD Desirable Experience ...

data pipelines Understanding of data quality, governance and security Desirable Experience with Microsoft Fabric and/or Azure Experience with AWS services such as S3, Glue, Athena, Lambda and Firehose Experience working with operational/observability data from CloudWatch Understanding of GDPR, NHS information governance and data minimisation principles ...

C#, Python, Java or similar Good knowledge of database design and data structures Proficiency with SQL-related technologies Knowledge of AWS such as ECS, S3, DynamoDB is desirable Evidence of exceptional analytical and problem-solving skills High attention to detail and keen to work on multiple fast-paced projects ...

includes, but is not limited to: C#/.NET, SPython FastAPI/Django, TypeScript, Angular, Vue.js, PostgreSQL, MongoDB, Redis/Valkey, RabbitMQ, Kafka, Azure, S3-compatible storage, Talend, NiFi, Docker, Podman, Kubernetes, Power Platform, and Office document automation tools such as Aspose. ð Join Assystem and play ...

reliable data delivery Support the performance tuning and optimisation of data pipelines, SQL workloads and integration services Work with AWS services such as S3, Glue, Lambda, Athena and Step Functions, or Azure equivalents including Data Lake Storage Gen2, Data Factory, Synapse, Azure Functions and Logic Apps Contribute to documentation … Glue, Lambda, Step Functions or Azure Data Factory, Synapse Pipelines, Azure Functions and Logic Apps PySpark SQL (Athena, Redshift, Azure Synapse SQL) AWS S3 or Azure Data Lake Storage Gen2 Python and/or Java ETL/ELT data pipeline development Data quality, validation and monitoring Git, CI/ ...

reliable data delivery Support the performance tuning and optimisation of data pipelines, SQL workloads and integration services Work with AWS services such as S3, Glue, Lambda, Athena and Step Functions, or Azure equivalents including Data Lake Storage Gen2, Data Factory, Synapse, Azure Functions and Logic Apps Contribute to documentation … Glue, Lambda, Step Functions or Azure Data Factory, Synapse Pipelines, Azure Functions and Logic Apps PySpark SQL (Athena, Redshift, Azure Synapse SQL) AWS S3 or Azure Data Lake Storage Gen2 Python and/or Java ETL/ELT data pipeline development Data quality, validation and monitoring Git, CI/ ...

What you'll be doing Design, develop and maintain scalable, real-time applications using Python Build cloud-native solutions using AWS services including EC2, S3, Lambda, ECS, SQS and Aurora Deploy containerised applications using Docker and Kubernetes, implementing serverless architectures where appropriate Monitor application health and performance using CloudWatch … take part in code reviews and Agile ceremonies What you need to bring Strong commercial experience building cloud-native applications within AWS , ideally including S3, Lambda, EC2, ECS, SQS and Aurora Expert-level Python development skills Proven experience designing highly available, scalable and resilient software solutions Solid experience with ...

Bristol, Plymouth, etc.What you'll be doingDesign, develop and maintain scalable, real-time applications using PythonBuild cloud-native solutions using AWS services including EC2, S3, Lambda, ECS, SQS and AuroraDeploy containerised applications using Docker and Kubernetes, implementing serverless architectures where appropriateMonitor application health and performance using CloudWatch … teams, and take part in code reviews and Agile ceremoniesWhat you need to bringStrong commercial experience building cloud-native applications within AWS, ideally including S3, Lambda, EC2, ECS, SQS and AuroraExpert-level Python development skillsProven experience designing highly available, scalable and resilient software solutionsSolid experience with Docker, Kubernetes ...

prompt and context engineering, evaluations and AI SDLC to deliver novel capabilities for the trading organisation. Tap into expertise in AWS cloud services (S3, Redshift, EC2, Lambda, etc.) to build, deploy and manage data pipelines in a secure and cost-effective manner, with particular focus on cloud cost optimisation … pipelines for complex and time series data. Proven experience with Apache Airflow for data orchestration and scheduling at scale. Expertise in AWS cloud services (S3, Redshift, EC2, Lambda, etc.) is a must. Definition and design of the full SDLC (standards and tooling): development, test and deployment, using Git source ...