11 of 11 Amazon S3 Jobs in Slough

About You AWS certification (Solutions Architect/DevOps Engineer – Associate or Professional level) 5+ years’ experience in cloud architecture, design, and implementation Expertise with AWS services such as EC2, S3, RDS, Lambda, VPC, IAM, and CloudFormation or Terraform Strong experience with DevOps tools (Git, Jenkins, Docker, Kubernetes) Knowledge of cloud security and compliance frameworks (CIS, SOC 2, etc.) Proven More ❯

Tools like GitHub Actions, Jenkins, AWS CDK, CloudFormation, Terraform. Key Responsibilities: Design and implement scalable, secure, and cost-efficient data solutions on AWS, leveraging services such as Glue, Lambda, S3, Redshift, and Step Functions. Lead the development of robust data pipelines and analytics platforms, ensuring high availability, performance, and maintainability. Demonstrate proficiency in software engineering principles, contributing to the More ❯

experience in .NET development , including .NET Core and C# . Strong experience in designing and developing Microservice architectures in cloud environments. Proven experience with AWS services including EC2 , Lambda , S3 , RDS , DynamoDB , SNS , SQS , EventBridge, AWS Amplify , and API Gateway . Familiarity with asynchronous messaging and event-based communication patterns (e.g., event queues , publish/subscribe ). Experience with More ❯

security and compliance. Build and maintain CI/CD pipelines, monitoring tools, and cost optimisation strategies. Mentor and coach engineers on platform best practices. Tech Stack Highlights AWS (ECS, S3, DynamoDB, Aurora, OpenSearch) Pulumi (TypeScript) for infrastructure as code Kafka (Confluent Cloud) for event-driven architecture GitHub Actions for CI/CD DataDog for observability Containerised microservices architecture What More ❯

skills You have experience with Kafka for data streaming including Kafka Streams and KTables You have strong SQL skills (e.g. PostgreSQL, MySQL) You have strong AWS knowledge, ideally including S3 and Lambda You have a good understanding of data modelling and batch/streaming ETL/ELT patterns You're collaborative and pragmatic with great communication skills What's More ❯

programming. Familiarity with modern Front End technologies and JS frameworks, such as React. Experience writing and consuming RESTful APIs in Python. Experience with AWS services (Lambda, SQS, API gateways, S3). Excellent time-management and organisational skills, with the ability to work to deadlines. Good communication, negotiating and influencing skills. Excellent opportunity to positively impact patient safety whilst working More ❯

datasets What You’ll Bring: Proven Tableau expertise with a strong eye for design and user experience Solid experience in SQL, Snowflake, and DBT Familiarity with AWS services (Lambda, S3, Athena) An understanding of IT asset management is a plus Excellent communication skills across technical and non-technical audiences Please include a link to your Tableau Public profile or More ❯

What You’ll Bring Proven experience in data engineering, with a strong track record building AWS cloud data pipelines and data warehouses. Solid understanding of AWS services such as S3 and Redshift, particularly around storage, computation and security. Familiarity with modern BI tools such as Power BI or AWS QuickSight. Experience with open-source data stack tools like Airflow More ❯

ML model deployment and production monitoring. • Working knowledge of core data science concepts, such as model evaluation metrics, overfitting, data drift, and feature importance. • Proficiency in AWS services (like S3, RedShift etc) • Experience with Grafana for monitoring and alerting. • Good to have hands-on experience with Domino Data Lab platform. • Solid understanding of CI/CD pipelines, version control More ❯

and building dashboards & automated reporting (Tableau, Power BI). Developing data pipelines, models and analyses using SQL & Python (Pandas/NumPy). Working with cloud environments (AWS Redshift/S3 or similar). Advising business stakeholders on how to use insights to drive measurable impact. Collaborating with experienced data consultants and supporting delivery across multiple industries. What we’re More ❯

and data governance across AWS and Snowflake platforms. Lead the design of data lakes, data warehouses, and real-time data pipelines using AWS-native tools such as Glue, Redshift, S3, Lambda, Kinesis, and Athena. Project Leadership & Delivery Manage and deliver complex data architecture projects, providing technical leadership to cross-functional teams. Collaborate with business stakeholders, data engineers, and analysts … years of experience in data architecture, including at least 3 years in a cloud-native environment. Proven expertise with AWS cloud services , including but not limited to: S3, Glue, Redshift, Lambda, Kinesis, Athena, Lake Formation. Strong hands-on experience with Snowflake – architecture, performance tuning, security, and data sharing features. Proficient in data modelling, data integration (ETL/ELT), and More ❯