10 of 10 Amazon S3 Jobs in South London

understanding of AWS across compute, networking, identity and databases. Solid experience with Terraform and CloudFormation. Strong Python skills. Confident with SQL, MySQL, Postgres and S3 based storage. Comfortable with Linux and shell scripting. Experience with Git, GitHub and CI or CD pipelines. Strong analytical and problem solving mindset with ...

pieces of work delegated by the Senior Management Team. Key Skills and Experience Mandatory: Strong understanding of core AWS services; VPCs, subnets, EC2, lambda, s3, route 53, VPC endpoints Good understanding of networking - TCP/IP, DNS, routing, proxy patterns Good understanding of containers and Kubernetes (does not require ...

pieces of work delegated by the Senior Management Team. Key Skills and Experience Mandatory: Strong understanding of core AWS services; VPCs, subnets, EC2, lambda, s3, route 53, VPC endpoints Good understanding of networking - TCP/IP, DNS, routing, proxy patterns Good understanding of containers and Kubernetes (does not require ...

tested (pytest) Contributing to architectural decisions around scalability, performance, and security Cloud & Infrastructure (AWS) Developing on AWS using services such as: Lambda, Fargate, EC2 S3, SNS, SQS API Gateway, AppSync DynamoDB, RDS Working with Bitbucket + AWS CodePipeline for CI/CD Supporting secure, production-grade cloud deployments Geospatial ...

Experience building large-scale ingestion and normalisation pipelines Experience with analytics engines, scoring frameworks, and real-time compute Cloud & Infrastructure AWS preferred (EKS, Lambda, S3, IAM, CloudWatch, ECS) CI/CD tooling, infrastructure-as-code, observability, monitoring, deployment pipelines Experience operating highly available systems in production environments Security, Compliance ...

writing it. The Stack Frontend: React, TypeScript (shadcn/ui, Vite, AG Grid) Backend: Python, FastAPI (SQLAlchemy ORM, MySQL, Redis, QuestDB) Infrastructure: AWS (EC2, S3, SQS, RDS), CloudFormation, Git, Cypress Integrations: External market data providers and the fund administrator What You'll Work On Trade booking interfaces ...

Strong experience with Databricks and Apache Spark • Proficiency in Python (required); SQL (advanced) • Hands-on experience with AWS or Azure cloud services: o AWS: S3, EMR, Glue, Redshift, Lambda, IAM o Azure: ADLS Gen2, Azure Databricks, Synapse, Data Factory, Key Vault • Experience with Delta Lake, Parquet, and data modeling ...

than ticking every box. What they're looking for Experience with (or enthusiasm to learn) JavaScript/TypeScript, Node.js, React, and AWS (Lambda, Fargate, S3) Exposure to modern testing tools such as Cypress, Playwright, Mocha, or Chai A pragmatic, methodical approach to improving legacy systems while continuing to deliver ...

major government programme delivering secure, scalable data solutions. Key Responsibilities Design and implement data pipelines on AWS using services such as Glue, Lambda, S3, and Redshift. Develop ETL processes and optimise data workflows for performance and security. Collaborate with analysts and architects to ensure compliance with government security standards. … Troubleshoot and resolve issues in complex cloud environments. Essential Skills Strong experience with AWS services (Glue, Lambda, S3, Redshift, IAM). Proficiency in Python and SQL for data engineering tasks. Knowledge of data modelling, ETL frameworks, and best practices. Familiarity with security and compliance in government or regulated environments. ...

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 ...