25 of 25 Amazon S3 Jobs in Scotland

Associate/Professional, or AWS Data Engineer) (Preferred) Languages English (Preferred) Spanish (Preferred) Hard Skills Practical experience with AWS cloud architecture, including services like S3, IAM, VPC, KMS, CloudWatch, CloudTrail, Glue, Athena, EMR, Lambda, Step Functions, and SageMaker. (Preferred) Skilled in SQL and NoSQL databases for implementing data warehouses ...

containerized application development. Deep AWS platform experience across compute, storage, networking, security, provisioning, and automation. Hands-on with services including EC2, ECS, EKS, ELB, S3, Lambda, API Gateway, Glue, EMR, ElastiCache, CloudWatch, and CodeDeploy. Infrastructure provisioning expertise using Terraform (advanced techniques), including implementing/configuring AWS RDS and Aurora ...

Java, including experience building and maintaining large-scale, production-grade applications Hands‐on experience designing and deploying cloud-native solutions on AWS (e.g., EC2, S3, Lambda, RDS, EKS) Demonstrated experience building and maintaining CI/CD pipelines using industry-standard tools Strong understanding of software design patterns, distributed systems ...

cloud-based applications. Designing solutions for reliability, scalability and cost efficiency. Desirable technical skills Experience with additional AWS services such as API Gateway, DynamoDB, S3, SQS, SNS, EventBridge, CloudWatch and IAM. Experience with Infrastructure as Code , particularly AWS CDK, CloudFormation or Terraform. Experience with Node.js and the wider TypeScript ...

query optimization and performance tuning. Hands-on experience with data lake platforms (Databricks, Apache Spark, or similar). Experience with AWS cloud services (S3, ECS, SNS/SQS, Lambda, etc.). Strong understanding of data quality, security, and lineage best practices. Experience with cloud-based data warehouse migration ...

Build and maintain scalable, resilient AWS infrastructure using Terraform as modular, single-purpose stacks, supporting core services such as EKS, RDS (including Oracle), ElastiCache, S3, EFS, Amazon MSK (managed Kafka), KMS, Secrets Manager, EventBridge, SNS, CloudWatch, and Lambda Support Amazon EKS lifecycle operations, including cluster … writing, structuring, and maintaining stacks to provision and manage cloud resources Working knowledge of core AWS services including EC2/networking (VPC), IAM, RDS, S3, KMS, Secrets Manager, and CloudWatch Foundational experience with Amazon EKS and Kubernetes, including deploying workloads and supporting cluster operations Practical experience working ...

Boto3 for AWS service integration and automation AWS (working within Technical Lead's architecture): Lambda function development with proper event handling and response formatting S3 operations including multipart uploads, presigned URLs, and event notifications CloudWatch logging and metrics for monitoring and debugging Understanding of IAM and security for role ...

engineering technologies Practical experience developing Production-scale Cloud-native data engineering solutions in commercial environments Familiarity with Cloud Data engineering services (e.g., ETL, Glue, S3, Athena) and MLOps stack Ability to convey design choices and results clearly and communicate effectively to stakeholders of various backgrounds Preferred qualifications, capabilities ...

responsibilitiesBuild and maintain scalable, resilient AWS infrastructure using Terraform as modular, single-purpose stacks, supporting core services such as EKS, RDS (including Oracle), ElastiCache, S3, EFS, Amazon MSK (managed Kafka), KMS, Secrets Manager, EventBridge, SNS, CloudWatch, and LambdaSupport Amazon EKS lifecycle operations, including cluster version … Terraform — writing, structuring, and maintaining stacks to provision and manage cloud resourcesWorking knowledge of core AWS services including EC2/networking (VPC), IAM, RDS, S3, KMS, Secrets Manager, and CloudWatchFoundational experience with Amazon EKS and Kubernetes, including deploying workloads and supporting cluster operationsPractical experience working with cloud ...

them via Astronomer (Airflow), and establish governed warehousing in Databricks. Requirements Required Skills & Technologies Cloud Platforms: Hands-on engineering experience within the AWS ecosystem (S3, IAM, Glue) and deep expertise in Databricks (SparkSQL, PySpark, governed cataloging). Modern Data Stack: Strong proficiency in dbt (Core or Cloud) for data … project managers. Job responsibilities Lakehouse Engineering: Build and maintain scalable data pipelines to migrate Consumer Risk datasets from Teradata to Amazon S3, utilizing Apache Iceberg for the lakehouse layer and Databricks for governed warehousing. Code Modernization (BTEQ to dbt): Perform complex code conversions, transforming ...

Implement cloud best practices for security, availability, scalability, and cost optimization. - Manage and support AWS services such as: - EC2 - ECS/EKS - Lambda - RDS - S3 - CloudWatch - IAM - VPC - Route 53 - SNS/SQS - Secrets Manager - Troubleshoot cloud infrastructure and application-related issues. ### DevOps & Automation - Build, maintain, and optimize ...

operate cloud infrastructure that underpins Fixed Income portfolio management. You will work on a Terraform-driven AWS estate, supporting services like EKS, RDS, S3, and Lambda, with opportunities to grow into server-side Java/Kotlin development. You will join a cross-functional team of engineers and product owners ...

Experience: Proven hands-on experience with Informatica MDM (Core, C360, and/or R360) setups and migrations. Strong understanding of AWS cloud services (EC2, S3, RDS, IAM, Lambda, Networking). Experience designing and implementing MDM data models, survivorship rules, and match/merge configurations. Proficiency in applying data quality ...

Experience: Proven hands-on experience with Informatica MDM (Core, C360, and/or R360) setups and migrations. Strong understanding of AWS cloud services (EC2, S3, RDS, IAM, Lambda, Networking). Experience designing and implementing MDM data models, survivorship rules, and match/merge configurations. Proficiency in applying data quality ...

Experience: Proven hands-on experience with Informatica MDM (Core, C360, and/or R360) setups and migrations. Strong understanding of AWS cloud services (EC2, S3, RDS, IAM, Lambda, Networking). Experience designing and implementing MDM data models, survivorship rules, and match/merge configurations. Proficiency in applying data quality ...

software, or machine learning-focused pipelines, with an understanding of monitoring, reliability, security, and operational support. DESIRABLE • Experience with AWS services such as SageMaker, S3, EC2, Lambda, IAM, VPC, KMS, or Bedrock. • Experience developing or contributing to scalable architectures for data-driven products or services. • Experience working with MLOps ...

good engineering rather than multiplying mediocre code. Tech stack Java (Spring Boot), RESTful APIs, Kafka/event‐driven services CI/CD pipelines, AWS (S3, Lambda, ECS, EKS, MSK) Kubernetes, containerisation, infrastructure as code AI integrations, agentic development workflows, strong security practices Responsibilities Build Java services across REST APIs ...

services Implement cloud best practices for security availability scalability and cost optimization Manage and support AWS services such as: EC2 ECSEKS Lambda RDS S3 CloudWatch IAM VPC Route 53 SNSSQS Secrets Manager Troubleshoot cloud infrastructure and applicationrelated issues DevOps Automation Build maintain and optimize CICD pipelines Automate deployment provisioning ...

engineering practices. Improving testing, deployment pipelines, monitoring and documentation. Technology Stack PHP/Laravel TypeScript, Node.js, NestJS React MySQL & PostgreSQL AWS (Lambda, ECS, RDS, S3, SQS, SNS) Docker & CI/CD pipelines Monitoring and observability tools What We're Looking For Strong experience in either PHP/Laravel ...

development in an agile team, focusing on document processing and ML automation using Python, AI/ML libraries, and AWS infrastructure including Lambda, S3 and CDK. Strong Python and ML experience are essential for success. #J-18808-Ljbffr ...

strategies for large historical datasets is beneficial. Primary platform Microsoft SQL Server (AWS RDS) — T-SQL, SSMS, stored procedures,execution plans Cloud AWS — RDS, S3, and supporting services for tooling and discovery outputs Estate ~1,100 tables, 15 years of trade data, no archiving strategy, no storedprocedure inventory, duplicated ...

when to be pragmatic. Tech snapshot Primary platform Microsoft SQL Server (AWS RDS) — T‐SQL, SSMS, stored procedures, execution plans Cloud AWS — RDS, S3, and supporting services for tooling and discovery outputs Estate ~1,100 tables, 15 years of trade data, no archiving strategy, no stored procedure inventory, duplicated ...

Your responsibilities: Own the overall solution architecture for the Amazon Connect platform, including Voice routing and contact flows, IVR design and call life cycle, Agent experience and operational model Lead and contribute to deep architectural discussions, ensuring solutions follow AWS Well-Architected Framework principles (security, reliability, scalability, performance … implement the solution, sell, deliver cloud contact center solutions to clients. Experience with AWS technologies such as AWS Lambda, Amazon Lex, DynamoDB, S3, Sagemaker, Contact Lens, Transcribe etc. and how they may be leverage alongside Amazon Connect to enhance contact centre performance Well versed with ...

working to the pattern set by the Lead ML Ops Engineer Build and amend feature engineering pipelines, feature store integrations, and data access layers (S3, Glue, Lake Formation) supporting migrated models Implement parity and statistical testing to prove migrated pipelines/models match Databricks outputs Handle data migration/… ProServe counterparts Skills & experience Must-have Python/PySpark - Expert. Production data pipeline development, not analysis-only AWS data/ML stack - Advanced. S3, Glue and/or EMR, IAM basics; AWS ML stack SageMaker (Pipelines, Feature Store, Endpoints) SQL — Advanced strongly preferred. ML pipeline experience. Pipelines feeding model ...

agents across client platforms Architect and implement RAG pipelines using Amazon Bedrock Knowledge Bases, managing vector stores, embeddings, and document ingestion from S3 and other sources Apply the A2A (Agent-to-Agent) protocol to enable interoperability between agents across systems and workflows Instrument AI systems with observability … compliance requirements Integrate LLMs into client applications through prompt engineering, context management, and function/tool calling patterns Leverage serverless infrastructure — AWS Lambda, DynamoDB, S3 — to build scalable, cost-efficient backends for AI workloads Collaborate with client engineering and product teams to translate requirements into agent architectures, contributing ...