1 to 25 of 127 Permanent Amazon S3 Jobs in England

re also are able to offer 4 day working weeks and part time options can be considered. Requirements: - Active DV Clearance - AWS - (EC2, Lambda, S3, RDS) - Kubernetes, Openshift or Docker Swarm - Terraform - SQL - Prometheus or Grafana - A security mindset If you're a DevOps engineer looking for acontract offering more »

on experience in shaping and designing data solutions (data analytics, data integration, data platform) using cloud-based hyperscales, with emphasis on AWS services including S3, Redshift, Lambda, Step Functions, DynamoDB, AWS Glue, RDS, Athena, Kinesis, Quicksight. Hands on experience on design solutions using Snowflake and DBT. Familiarity with Databricks more »

work, keeping boards up to date and attending stand-ups Key Skills & Experience Tech stack includes: TypeScript/JavaScript, Jest, AWS Serverless (Lambda, DynamoDB, S3, etc...), GitHub Hands-on frontend development and delivery experience over a mix of languages and technologies. Youre familiar with product and design lifecycles, and more »

design; Star schema and dimensional modelling Previous experience of ETL/ELT toolsets Excellent SQL skills Hands on experience with AWS Services i.e., EC2, S3, Lambda. Python Scripting Code Repository Management (e.g. GitHub, Subversion, Bitbucket) Has a CI/CD mind-set for release purposes Desirable • Proven experience of more »

services such as AWS Glue, AWS Lambda, and AWS Data Pipeline. Data Storage Management : Manage and optimize data storage solutions, including Amazon S3, Amazon Redshift, and AWS RDS. Data Quality and Validation : Ensure data quality and integrity through validation and cleansing techniques. Collaboration : Work closely … a focus on AWS and cloud technologies. Technical Skills : Proficiency in programming languages such as Python, Java, or Scala. Experience with AWS services including S3, Redshift, Glue, Lambda, and RDS. Strong SQL skills for data manipulation and querying. Familiarity with ETL tools and processes. Understanding of data modeling and more »

Design, develop, and maintain backend services and APIs using Java and Scala. Implement scalable solutions on AWS cloud platform, leveraging services such as EC2, S3, Lambda, and DynamoDB. Utilize the Spring Framework to build and manage application components, including dependency injection, data access, and transaction management. Collaborate with product more »

in our on-call rotation, and resolve production issues Continuously improve automation, monitoring and deployment processes Requirements: Experience with AWS services such as ECS, S3, RDS, Lambda, CloudFront, etc. Experience with monitoring tools like DataDog, CloudWatch, and Grafana Experience with Docker, ECS, Kubernetes or similar containerisation technologies Knowledge of more »

as code, ensuring consistency and efficiency in deployment processes. Implement and manage hosting and orchestration solutions using Docker, Fargate, Service Catalogue, Service Manager, AWS S3, MKS, Docker, Kubernetes, AWS Autoscaling Groups (ASG), EC2 instances, and ELB (Elastic Load Balancer). Utilize Consul for configuration management and Vault for secure more »

mid-term solutions Experience of building data warehouses, enterprise data warehouses or data lakes with ETL pipelines Experience with AWS tools including Glue, Lambda, S3, RDS, is preferred An understanding of CICD concepts including having a working knowledge of GitHub Understanding of different data warehouse architectures is preferred (especially more »

for certifications and loads more Location: Leeds + very flexible hybrid working model (remote) Key skills desired/what you will learn: Terraform AWS: S3, Lambda/Serverless TypeScript, NodeJS, and ReactJS Python CI/CD: CircleCI, GitHub Actions Data Engineering technologies can be taught longer-term Role overview more »

experience Designing, creating and calling HTTP APIs SQL Databases, e.g. Postgres, MySQL, MariaDB Experience in using AWS services - 3+ of the following: EC2, RDS, S3, Route 53, Elastic search, EKS, Cloudwatch, Cloudfront. Works well in a team and with minimal supervision Desirable Requirements: Experience with: CI/CD pipelines more »

Experience with Apache Kafka and confluent platform In-depth knowledge of Kafka Architecture In-Depth Experience with AWS Cloud Platform Core Components - EC2, EBS, S3, IAM, KMS, Cloudwatch, SQS, SNS, AWS Secret Manager Hands-on experience with Unix Shell scripting, Python, Docker, Jenkins, Kerberos, SSL/TLS Active Directory more »

projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge of building reliable, efficient data applications systems, services more »

projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge of building reliable, efficient data applications systems, services more »

projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge of building reliable, efficient data applications systems, services more »

to hit the ground running they are looking to hire a Lead Engineer to spearhead the project with good knowledge of: AWS services (EC2, S3, ECS) Databases (RDS, Glue) Serverless (Lambda, SNS, SQS) Terraform GitHub Actions CircleCI TypeScript Node.js Driving DevOps adoption by defining best practices and guiding developers more »

such as Dremio, Snowflake, Iceberg, (Py)Spark/Glue/EMR, dbt, and Airflow/Dagster. AWS Services: Hands-on experience with AWS, especially S3, ECS, and EC2/Fargate. Collaborative Approach: Proven ability to work effectively with both business and technical stakeholders, taking ownership of end-to-end more »

Exposure to the following is advantageous: Experience of storage environment protocols (NAS, SAN, RAID, distributed file system, object storage, Restful API, Amazon S3). Solid networking knowledge: low level networking concepts, bridging, routing, VLAN, TCP/IP etc. Knowledge of High Availability environments (distributed system, load balancing more »

Develop solutions to parse and process tabular data from PDF and HTML documents Maintain, support and expand existing data pipelines using DBT, Snowflake and S3 Implement standardised data ingress/egress pipelines Onboard new, disparate data sets, sourced from many and varied data vendors, covering all asset types and more »

identifying the necessary edge cases that need to be tested in order to fully understand the data; programming in Python or Ruby, utilizing AWS S3, MongoDB, PostgreSQL, AWS Redshift or similar database technologies; using Jupyter notebooks and one or more statistical visualization or graphing toolkits such as Excel, Qlik more »

Cypress. On the backend you’ll find NodeJS microservices written in TypeScript. We use Kafka to enable our event-driven-architecture, and MongoDB, PostgreSQL, S3 and Elasticsearch for data storage and retrieval. Elephant’s platform is multi-cloud: we deploy our services to data centres around the world using more »

experience working within dataiku and understanding its capabilities as a platform and data science solution. Highly experienced within AWS platform engineering such as EC2, S3, IAM. Experienced within Kubernetes. Offering up to £780 inside ir35 and on a 12 month contract No up-to-date CV? No problem! Email more »

preferred) 7+ years as a Network Engineer/Architect, with focus on SDN, AWS, Azure, and security Hands-on with AWS (Lambda, Kinesis, DynamoDB, S3) and Azure for serverless apps Deep knowledge of network security (firewalls, IDPS), reducing security incidents by 70% Certifications: CCNP, CCIE, AWS Certified Solutions Architect more »

of distributed systems Experience in financial services specifically corporate cash management desirable Experience with AWS services - Amazon MSK/Apache kafka, ECS, S3, IAM, AWS XRay Basic knowledge of data science and machine learning is preferable but not essential ABOUT GOLDMAN SACHS At Goldman Sachs, we commit more »

self-starter. Analytical, methodical, resourceful, good at problem solving. Bonus Skills: SSH, Amazon Linux, Ubuntu, basic sysadmin skills, YAML. AWS EB, EC2, S3, SES & Lambda. Experience with MongoDB. Familiarity with concepts like MVC archi... more »