76 to 100 of 203 Amazon S3 Jobs in London

and management of errors in Go hands on expereince of Packages & Moduldes plus Go Testing Packages Understanding of Restful APIs, Microservices and distributed system AWS Expereince using EC2, Lamda, S3 EBS, RDS/Dyanamo DB and IAM/KMS Understanding GitLab CI/CD , Git Merging, Rebasing & Conflit Reolution Expereince in Containerization (Docker images) and understanding of Container lifecycle More ❯

type hints, context managers) AWS Services & API Integration * Deep experience using AWS SDKs in both Python (boto3) and Go (aws-sdk-go-v2) to: * Interact with services like EC2, S3, IAM, CloudWatch, and Lambda. LDAP, Vault, JIRA/Confluence, Kubernetes Integration in Python & Go * LDAP: * Authentication and user/group management using ldap3 in Python. Kubernetes: * Working with the More ❯

hints, context managers). AWS Services & API Integration Deep experience using AWS SDKs in both Python (boto3) and Go (aws-sdk-go-v2) to: Interact with services like EC2, S3, IAM, CloudWatch, and Lambda. LDAP, Vault, JIRA/Confluence, Kubernetes Integration in Python & Go LDAP: Authentication and user/group management using ldap3 in Python. Kubernetes: Working with the More ❯

of AI, and AI ethics An understanding of data safety in use of Large Language Models Knowledge and experience of either AWS or Azure: AWS (boto3, Bedrock, Sagemaker, Lambda, S3, EC2) Azure (azure Open AI service, Cosmos DB) Python Langgraph Neo4j/cypher Other coding languages/frameworks e.g. Java/.Net AI RAG (retrieval augmented generation) Graph RAG More ❯

like JIRA Excellent communication skills and self-management within a distributed team Highly Desirable: Exposure to WordPress VIP and large-scale WordPress architecture Experience integrating with AWS services (e.g. S3, Lambda, API Gateway More ❯

for this role Minimum Qualifications Production Experience in operationalizing large scale distributed, fault-tolerant, multi-tenant services Experience in presenting with AWS Services, including but not limited to: EC2, S3, EKS, DynamoDB, EBS, Cloud formation, Lambda, VPC, Route 53 Experience operating in core SDLC CI/CD processes, along with SRE concepts - Monitoring, Alerting, Incident management. Worked within DevOps More ❯

/ELT processes, automation Technical Requirements: - Strong proficiency in SQL and Python programming - Extensive experience with data modeling and data warehouse concepts - Advanced knowledge of AWS data services, including: S3, Redshift, AWS Glue, AWS Lambda - Experience with Infrastructure as Code using AWS CDK - Proficiency in ETL/ELT processes and best practices - Experience with data visualization tools (Quicksight) Required More ❯

/ELT processes, automation Technical Requirements: - Strong proficiency in SQL and Python programming - Extensive experience with data modeling and data warehouse concepts - Advanced knowledge of AWS data services, including: S3, Redshift, AWS Glue, AWS Lambda - Experience with Infrastructure as Code using AWS CDK - Proficiency in ETL/ELT processes and best practices - Experience with data visualization tools (Quicksight) Required More ❯

e.g., Erwin, Lucidchart, SAP PowerDesigner). Knowledge of Python and SQL (e.g., Snowflake or similar warehousing technology, real-time systems). Experience with AWS services such as Lambda, SNS, S3, EKS, API Gateway. Knowledge of data warehouse design, ETL/ELT processes, and big data technologies (e.g., Snowflake, Spark). Understanding of data governance and compliance frameworks (e.g., GDPR More ❯

a focus on building scalable data solutions. Experience with data pipeline orchestration tools such as Dagster or similar. Familiarity with cloud platforms (e.g. AWS) and their data services (e.g., S3, Redshift, Snowflake). Understanding of data warehousing concepts and experience with modern warehousing solutions. Experience with GitHub Actions (or similar) and implementing CI/CD pipelines for data workflows More ❯

a hands-on technical leadership role with advanced experience in at least most of the following technologies Cloud Platforms: AWS (Amazon Web Services): Knowledge of services like S3, EC2, Lambda, RDS, Redshift, EMR, SageMaker, Glue, and Kinesis. Azure: Proficiency in services like Azure Blob Storage, Azure Data Lake, VMs, Azure Functions, Azure SQL Database, HDInsight, and Azure … Azure Purview. Data Security Tools: AWS Key Management Service (KMS), Azure Key Vault. Data Analytics & BI: Visualization Tools: Tableau, Power BI, Looker, and Grafana. Analytics Services: AWS Athena, Amazon QuickSight, Azure Stream Analytics. Development & Collaboration Tools: Version Control: Git (and platforms like GitHub, GitLab). CI/CD Tools: Jenkins, Travis CI, AWS CodePipeline, Azure DevOps. Other Key More ❯

Desirable Skills: Marketing Cloud experience. Certified Sales Cloud Consultant. Experience with AI models within Salesforce or other platforms. Experience with cloud platforms such as AWS, including services like Lambda, S3, or API Gateway. Familiarity with JavaScript frameworks such as React for building UI components or integrations. Knowledge of Salesforce DevOps tools (e.g., Git, Gearset, Copado, or similar). What More ❯

ES6+), TypeScript, React, Next.js, Redux, HTML5, CSS3/SCSS Testing: React Testing Library, Jest, Cypress (or similar) Build & Tooling: NPM, Webpack, Vite (or similar modernbundlers), Babel DevOps & Tools: AWS (S3, CloudFront, etc.), GitlabCI/CD, Git Backend Interaction: RESTful APIs (from Grails/Java services) Qualifications Must haves: 5-7+ years of proven track record in frontend development More ❯

engineering, including: Snowflake (data warehousing and performance tuning) Informatica (ETL/ELT development and orchestration) - nice to have Python (data processing and scripting) - required AWS (data services such as S3, Glue, Redshift, Lambda) - required Cloud data practices and platform - AWS required Basic knowledge of related disciplines such as data science, software engineering, and business analytics. Proven ability to independently More ❯

Node.js microservices and SSR/Next.js rendering tiers. Implement auto-scaling policies and ensure blue/green or rolling updates minimize user disruption. Manage AWS infrastructure (EC2, ALB, CloudFront, S3) to optimize content delivery and reliability of front-end assets. Performance Optimization Profile and tune React applications: code-splitting, lazy loading components, optimizing bundle sizes, and minimizing hydration times. More ❯

transformation journey of our data platform (AWS) Cloud Proficiency: Hands-on experience with at least one major cloud platform (AWS, Azure, or GCP) and its core data services (e.g., S3, Redshift, Lambda/Functions, Glue). Data Modelling: Deep understanding of ELT/ETL patterns, and data modelling techniques. CRM/Customer Data Focus: Experience working directly with data More ❯

Software Development Engineer, Amazon QuickSight AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's services and features apart in the industry. As a member of the … UC organization, you'll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS. Within AWS UC, Amazon Dedicated Cloud (ADC) roles engage with AWS customers who require specialized security solutions for their cloud services. Amazon QuickSight powers data-driven organizations with unified business intelligence (BI … QuickSight, all users can meet varying analytic needs from the same source of truth through modern interactive dashboards, pixel-perfect reports, embedded analytics, and natural language queries. With Amazon Q in QuickSight, business analysts and business users can use natural language to build, discover, and share meaningful insights in seconds, turning insights into impact faster. We are looking More ❯

Database Designer & Senior Data Engineer, with hands-on experience in cloud based data services. Proficiency in SQL, Python, or Scala. Experience with AWS RDS, AWS Glue, AWS Kinesis, AWS S3, Redis and/or Azure SQL Database, Azure Data Lake Storage , Azure Data Factory. Knowledge of data modelling , ETL processes, and data warehousing principles. Preferred Skills Strong problem-solving More ❯

cloud-native data pipelines Automating and orchestrating workflows using tools like AWS Glue, Azure Data Factory, or Google Cloud Dataflow Working with platform services such as Amazon S3, Azure Synapse, Google BigQuery, and Snowflake Implementing Lakehouse architectures using tools like Databricks or Snowflake Collaborating closely with engineers, analysts, and client teams to deliver value-focused data solutions More ❯

maintain end-to-end data flow diagrams, logical data models, and entity relationship diagrams (ERDs). Design scalable, secure, and robust data architectures on AWS, incorporating services such as S3, Glue, Redshift, RDS, and Lambda. Work with stakeholders to understand business and data requirements and translate them into architectural blueprints. Ensure data architecture complies with government standards for security More ❯

a cloud-native environment, with knowledge of cloud-native architectures and methodologies. Strong communication skills with fluency in English. Expertise in database technologies such as PostgreSQL , Snowflake , Elasticsearch , and S3 . 4+ years of experience in backend development. Deep understanding of at least one leading cloud provider ( AWS , GCP , or Azure ). Bonus Points Proficiency in Go programming. Background More ❯

Sails.js and front end-web applications using modern javascript frameworks (ideally Vue/Nuxt.js) Has experience of working with both MongoDB and AWS hosting and backend services (e.g. Cognito, S3, SES) Has experience of designing, building and maintaining automated continuous integration tests Has experience of working with other developers in an agile set-up Has experience of debugging and More ❯

or GCP - Knowledge of orchestration tooling (e.g., Airflow, Dagster, Azure Data Factory, Fivetran) Desirable: - Experience deploying AI/ML models in production environments - Familiarity with AWS data services (e.g., S3, Glue, Kinesis, Athena) - Exposure to real-time data streaming and analytics paradigms #LI-RJ1 Together, as owners, let's turn meaningful insights into action. Life at CGI is rooted More ❯

Database:DynamoWill be a plus: PostgreSQL/MySQL/Mongo Experience with AWS:LambdaDynamoDB & App Sync (GraphQL)Will be a plus: Amplify, API Gateway, CloudFormation, Cognito, SQS, Secrets Manager, S3, CloudWatch, KMS Experience with webhooks Why Join MetaWealth : • Our company structure ensures that everyone has a voice and that their contribution is valued. • We have a collaborative culture, and More ❯

opportunity to develop subject-matter expertise while working with cutting-edge financial technologies. Technologies used: TypeScript (key dependencies: Axios, Zod, Nest.js) Python (when contributing to the Data Squad) Redis S3 Kubernetes on AWS, Docker, GitLab (modern development stack) What's special about this role? You'll be at the forefront of creating reliable connections between our platform and an More ❯