9 of 9 Amazon S3 Jobs in the North East

develop and support cloud-based solutions. Build and manage containerised applications using Docker . Support application deployment and orchestration using Kubernetes or Amazon ECS . Contribute to load and performance testing using Gatling or k6 . Participate in code reviews and contribute to continuous improvement of development practices. … Active UK Security Check (SC) clearance is essential. Desirable Skills and Experience Experience working with AWS , particularly: Amazon SQS Amazon S3 Amazon SNS AWS KMS Hands-on experience with GitLab CI/CD . Strong experience with Cucumber and BDD . Experience using ...

assets AWS services Amazon EMR - running Spark workloads and reviewing output logs Amazon Athena - ad hoc querying of data in S3 Amazon Textract and Comprehend - familiarity with AI/ML document extraction and NLP services AWS S3, IAM, CloudWatch, EC2, ECR - core ...

Python (or Scala or Java). Experience building ETL/ELT pipelines. Experience with cloud data platforms such as AWS or Azure (for example, S3, Glue, Redshift, Azure Data Factory or Synapse). Understanding of data modelling and data warehousing concepts. Experience with version control (Git). Good problem ...

client interaction. Key Responsibilities Conduct technical testing on AWS services using Databricks, Quantexa, Tableau, and Iron Mountain. Perform manual testing across AWS components, including S3, CloudWatch, VPC, Lambda, Athena (SQL), and others. Understand AWS infrastructure deployment processes, including Terraform-based configurations. Develop and execute test plans, ensuring evidence-driven ...

experience leading DevOps teams within large, complex technology programmes. Proven experience working within multi-vendor delivery environments. Strong hands-on AWS experience, including IAM, S3, EC2, Lambda, VPCs and DynamoDB . Strong Infrastructure as Code experience using Terraform . Experience building and maintaining CI/CD pipelines using GitHub ...

optimise scalable cloud-based data platforms. The successful candidate will be responsible for architecting enterprise data solutions on AWS, with a particular focus on S3-based Data Lakes, ETL frameworks, analytics platforms, and modern data engineering best practices. You will work closely with engineering, analytics, and business stakeholders … technical roadmaps. Support migration of legacy data platforms into AWS-native architectures. Knowledge Skills & Abilities Strong experience designing and operating Amazon S3 Data Lakes. Hands-on experience with AWS Glue including Crawlers, Data Catalog, ETL Jobs and Workflows. Experience designing analytical solutions using Amazon Redshift. ...

orchestration Use of Python, SQL, and familiarity with PySpark Understanding of EMR and reviewing output logs Use of Jupyter notebooks and/or Amazon Athena to query and validate data Data analysis to identify root cause of issues and familiarity with basic data structures for constructing a solution … data models and slowly changing dimensions/historic data capture Use of AWS console and services such as, but not limited to; CloudWatch, IAM, S3, Glue, ECR, EC2, EMR, Dynamo DB and LakeFormation Familiarity with Amazon Textract and Comprehend Understanding of both server-side and client-side ...

Agile software delivery Experience working with Git Experience with some of the following technologies would be advantageous AWS & Cloud AWS Lambda API Gateway SQS S3 KMS CloudWatch X-Ray ECS/Fargate ECR EKS Infrastructure & DevOps Terraform Docker Databases MongoDB Amazon DocumentDB Messaging & Monitoring Kafka Confluent Schema ...

experienced AWS Data Architect to design, build, and optimize scalable cloud-based data platforms. You will architect enterprise data solutions on AWS, focusing on S3 Data Lakes, ETL/ELT pipelines, analytics with Redshift, and self-service analytics with Athena. You will collaborate with engineering, analytics, and business stakeholders ...