201 to 225 of 310 Amazon S3 Jobs in the UK excluding London

Do: Design, develop, and optimize scalable ELT pipelines, ensuring reliable data delivery from diverse sources such as APIs, transactional databases, file-based endpoints, and S3 buckets. Build and maintain a robust Data Platform using tools like Airbyte, dbt, and Snowflake. Collaborate with product and regional teams to design data More ❯

Do: Design, develop, and optimize scalable ELT pipelines, ensuring reliable data delivery from diverse sources such as APIs, transactional databases, file-based endpoints, and S3 buckets. Build and maintain a robust Data Platform using tools like Airbyte, dbt, and Snowflake. Collaborate with product and regional teams to design data More ❯

Do: Design, develop, and optimize scalable ELT pipelines, ensuring reliable data delivery from diverse sources such as APIs, transactional databases, file-based endpoints, and S3 buckets. Build and maintain a robust Data Platform using tools like Airbyte, dbt, and Snowflake. Collaborate with product and regional teams to design data More ❯

Do: Design, develop, and optimize scalable ELT pipelines, ensuring reliable data delivery from diverse sources such as APIs, transactional databases, file-based endpoints, and S3 buckets. Build and maintain a robust Data Platform using tools like Airbyte, dbt, and Snowflake. Collaborate with product and regional teams to design data More ❯

Do: Design, develop, and optimize scalable ELT pipelines, ensuring reliable data delivery from diverse sources such as APIs, transactional databases, file-based endpoints, and S3 buckets. Build and maintain a robust Data Platform using tools like Airbyte, dbt, and Snowflake. Collaborate with product and regional teams to design data More ❯

Do: Design, develop, and optimize scalable ELT pipelines, ensuring reliable data delivery from diverse sources such as APIs, transactional databases, file-based endpoints, and S3 buckets. Build and maintain a robust Data Platform using tools like Airbyte, dbt, and Snowflake. Collaborate with product and regional teams to design data More ❯

Do: Design, develop, and optimize scalable ELT pipelines, ensuring reliable data delivery from diverse sources such as APIs, transactional databases, file-based endpoints, and S3 buckets. Build and maintain a robust Data Platform using tools like Airbyte, dbt, and Snowflake. Collaborate with product and regional teams to design data More ❯

Do: Design, develop, and optimize scalable ELT pipelines, ensuring reliable data delivery from diverse sources such as APIs, transactional databases, file-based endpoints, and S3 buckets. Build and maintain a robust Data Platform using tools like Airbyte, dbt, and Snowflake. Collaborate with product and regional teams to design data More ❯

for working with complex datasets and building data pipelines. Experience working in cloud-based environments, with exposure to tools such as AWS Redshift, Glue, S3, Athena, or Google BigQuery. Hands-on experience managing data versioning, metadata, and documentation for large-scale projects. A track record of collaborating with cross More ❯

greater contribution to our product experience. You'll typically be working in Java or Python, and with a technology stack that includes AWS, Kinesis, S3, Kubernetes, Spark, Airflow, gRPC, New Relic, Databricks, and more. This role requires expertise in distributed systems, microservices, and data pipelines, combined with a strong More ❯

Science, Computer Engineering or a related field. Minimum of 5 years of experience using Amazon Web Services technologies including EC2, RDS, Route53, S3, Lambda, FSx, IAM, EKS, ECR, CloudWatch, CloudFormation, and VPC. Experience running medium to large scale multi-tier distributed systems with the Microsoft technology stack More ❯

teams to design and implement automated tests for microservices, emphasizing Spring Boot and Java-based architectures. Implement testing strategies for AWS data lakes (e.g., S3, Glue, Athena) with a focus on schema evolution, data quality rules, and performance benchmarks, prioritizing data lake testing over traditional SQL approaches. Automate data … Expertise in Pandas, SQL, and AWS analytics services (Glue, Athena, Redshift) for data profiling, transformation, and validation within data lakes. Solid experience with AWS (S3, Lambda, EMR, ECS/EKS, CloudFormation/Terraform) and understanding of cloud-native architectures and best practices. Advanced skills in automating API and backend More ❯

teams to design and implement automated tests for microservices, emphasizing Spring Boot and Java-based architectures. Implement testing strategies for AWS data lakes (e.g., S3, Glue, Athena) with a focus on schema evolution, data quality rules, and performance benchmarks, prioritizing data lake testing over traditional SQL approaches. Automate data … Expertise in Pandas, SQL, and AWS analytics services (Glue, Athena, Redshift) for data profiling, transformation, and validation within data lakes. Solid experience with AWS (S3, Lambda, EMR, ECS/EKS, CloudFormation/Terraform) and understanding of cloud-native architectures and best practices. Advanced skills in automating API and backend More ❯

deep passion and desire to engineer and operate the world's largest cloud computing infrastructure to provide a better world for future generations? Amazon Web Services (AWS) builds and operates some of the largest internet infrastructure on the planet; providing companies of all sizes with an infrastructure web … driven by learning and innovation. 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 … high growth environment Solve unique and first-order problems in areas such as compute services including containers & serverless, DynamoDB/NoSQL databases, Glacier and S3 data lakes, and many other AWS Services Learn how to build and operate distributed systems at scale Build and influence the tools and utilities More ❯

our client’s 100 circa Windows VMs over 6 different accounts using AppStream and RDS for databases an EC2 environment of over 100 services S3 backups and storage FSX cloud storage OKTA is central to their hub so lots of Okta and Okta Workflows work including automation projects Windows More ❯

SQL coding skills You have experience with big data frameworks and tools including Spark You have a good knowledge of AWS data services (e.g. S3, Redshift, EMR, Glue) You have strong analytical, problem solving and critical thinking skills You have excellent communication skills and experience of working across teams More ❯

DBT, Airflow, and hands-on experience with exposure to Snowflake and the Big Data tech stack Technical Skills: Python PySpark DBT Airflow AWS, especially S3 and Glue Apache Iceberg SQL Git Kubernetes and Docker Shell Snowflake and Big Data tech stack More ❯

more common RDBMS systems (primarily Postgres). Practical knowledge of commonly used protocols and tools for data transfer (e.g., FTP, SFTP, HTTP APIs, AWS S3). Excellent communication skills. Experience with big data frameworks, databases, distributed systems, or Cloud development Nice to have - Experience with any of these: C++ More ❯

end) and NestJS (back-end) Testing tools: Jest, ViteTest, and Playwright Architectures include SPAs, REST, and GraphQL APIs Hosted on AWS using ECS, RDS, S3 and related services More ❯

common tools, platforms, and applications. Our solutions are delivered as software products or hosted services, using technologies such as Java, Cloud computing, HDFS, Spark, S3, ReactJS, and Sybase IQ. Key challenges include acquiring high-quality data, storing it, performing rapid risk computations via distributed computing, and enabling actionable insights More ❯

or equivalent, Grade A-C Demonstrate understanding of QA defect management and AWS cloud environment Have basic knowledge of AWS services such as EC2, S3, RDS, and Containers Possess working knowledge of JIRA defect tracking Have a basic understanding of SDLC and Agile methodologies Exhibit excellent analytical and problem More ❯

Kotlin or willingness to learn. Industrial experience with AWS/GCP/Azure. Knowledge of common data products such as Hadoop, Spark, Airflow, PostgreSQL, S3, etc. Problem solving/troubleshooting skills and attention to detail. 👋 About Us High-quality data access and provisioning shouldn't be daunting and time More ❯

adopt common tools, platforms, and applications. Our solutions are delivered as software products or hosted services, utilizing technologies like Java, Cloud computing, HDFS, Spark, S3, ReactJS, and Sybase IQ. Your work will involve acquiring high-quality data, performing risk computations efficiently, and enabling actionable insights through analytical interfaces. WHAT More ❯

and other technology teams to deliver high profile projects using a raft of technologies that are fit for purpose (Java, Cloud computing, HDFS, Spark, S3, ReactJS, Sybase IQ among many others). A glimpse of the interesting problems that we engineer solutions for, include acquiring high quality data, storing More ❯

A-C Demonstrate and understanding in QA defect management and AWS cloud environment. Basic understanding of AWS services, including but not limited to EC2, S3, RDS and Containers. Working knowledge in JIRA defect tracking tool. Basic understanding of software development lifecycle (SDLC) and Agile methodologies. Excellent analytical and problem More ❯