7 of 7 Permanent Amazon S3 Jobs in Manchester

compliant. What You'll Bring Must-Haves: Extensive Cloud Experience: 5+ years of hands-on experience with a major cloud provider, preferably AWS (EC2, S3, RDS, VPC, IAM, etc.). Infrastructure as Code (IaC) Mastery: Deep proficiency with tools like Terraform or CloudFormation to manage infrastructure declaratively. Containerization Expertise ...

knowledge of Infrastructure as Code tools (Terraform, Ansible). Proven track record with Kubernetes and Docker in production environments. Strong AWS expertise (EC2, S3, IAM, VPC, networking). Bonus: Familiarity with VMware technologies (vSphere, NSX, VCF). Excellent Scripting and automation skills. Collaborative approach and adaptability to change. ...

data . Good knowledge of Delta Lake/Delta Live Tables and the Medallion architecture . Hands-on experience with AWS services such as S3, Glue, Lambda, Batch, and IAM. Strong skills in Python for data engineering, automation, and testing. Confident using SQL for data analysis and building queries ...

features from design through to delivery Bonus: · Practical experience with GraphQL (Apollo, server or client) · PostgreSQL or relational database experience · Familiarity with AWS (RDS, S3, ECS/Fargate, etc.) · Experience with Nx monorepos and modular architectures · Testing experience with Playwright, Jest, or similar · Exposure to ERP, manufacturing, or production ...

Engineer, you'd also have the opportunity to mentor other team members an collaborate with product managers. Skills: TypeScript (Node, React) AWS (Lambda, Fargate, S3, Dynamo, Event Bridge etc.) Observability tools (Datadog, Dynatrace, Honeycomb, CloudWatch etc.) The money is good too – up to £70k plus benefits including hybrid working ...

engineering team. What we're looking for: 2+ years of Full-Stack Ruby on Rails experience is essential. Experience in AWS services such as S3 & ECS is an advantage. Solid communication skills for a fully remote team. What's on offer: Fully remote (UK-based) with the ability ...

pipelines. Structure, transform, and optimize data in Snowflake. Implement multi-source ETL/ELT flows (ERP, APIs, files). Leverage the AWS environment, including S3, IAM, and various data services. Prepare data for Data Science teams and integrate AI/ML models into production. Ensure data quality, security … cloud environment. Snowflake (MUST HAVE): Expertise in modeling, query optimization, cost management, and security. AWS: Strong knowledge of data and cloud services including S3, IAM, Glue, and Lambda. Languages: Advanced SQL and Python for data manipulation, automation, and ML integration. Data Engineering: Proven experience in ETL/ELT pipeline ...