51 to 75 of 87 Amazon-DynamoDB Jobs

Java 21, Maven, Spring Boot, JUnit. Client-Side: Typescript, Next.js, React and various React ecosystem tools and libraries Infrastructure: AWS, Kubernetes, Terraform, Kafka, DynamoDB, PostgreSQL, Redis, ElasticSearch, Kibana, Grafana, and Prometheus. However, you should be comfortable using a variety of frameworks, languages, and tools and be happy ...

model deployment. Proficiency in cleansing, filtering, and integrating data from diverse sources, including relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, DynamoDB). Familiarity with Workday data structures, APIs, and reporting tools. Demonstrable experience mentoring junior team members, with some involvement in formal performance appraisal processes ...

appreciation for data quality and consistency is a strong advantage. Solid grounding in core AWS data and messaging services (S3, Glue ETL, DynamoDB, SNS, SQS, Redis) and how they fit together in modern data architectures. Proficiency in SQL and experience querying large-scale datasets with engines such ...

delivering AI solutions in enterprise SaaS environments, particularly for Workday systems. Advanced proficiency in relational databases (e.g., PostgreSQL, MySQL), NoSQL databases (e.g., MongoDB, DynamoDB). Familiarity with Workday APIs, Workday Prism Analytics, and automated testing frameworks like Kainos Smart. Knowledge of data engineering and analytics platforms such ...

delivering AI solutions in enterprise SaaS environments, particularly for Workday systems. Advanced proficiency in relational databases (e.g., PostgreSQL, MySQL), NoSQL databases (e.g., MongoDB, DynamoDB). Familiarity with Workday APIs, Workday Prism Analytics, and automated testing frameworks like Kainos Smart. Knowledge of data engineering and analytics platforms such ...

Azure VMs, AVD, storage, VNets, Key Vault, Entra ID/AD, Intune, Defender, RBAC, and Functions. Understanding of AWS compute, storage, RDS, DynamoDB, VPC, VPN, Direct Connect, IAM, and Organisations. Experience using IaC tools such as Terraform, Ansible, Azure Automation (PowerShell/Graph), or AWS CDK. Ability ...

Azure VMs, AVD, storage, VNets, Key Vault, Entra ID/AD, Intune, Defender, RBAC, and Functions. Understanding of AWS compute, storage, RDS, DynamoDB, VPC, VPN, Direct Connect, IAM, and Organisations. Experience using IaC tools such as Terraform, Ansible, Azure Automation (PowerShell/Graph), or AWS CDK. Ability ...

appreciation for data quality and consistency is a strong advantage. Solid grounding in core AWS data and messaging services (S3, Glue ETL, DynamoDB, SNS, SQS, Redis) and how they fit together in modern data architectures. Proficiency in SQL and experience querying large-scale datasets with engines such ...

scaled use within ML & AI Expertise in Streaming Data, Event Driven Design, Data Governance & the AWS Cloud Technology stack (e.g. Glue, ServerLess, DynamoDB) A track record in leading the architecture vision, design & implementation of Enterprise scale data applications, with specific focus on Distributed Data Processing systems, Data LakeHouse ...

both scale and longevity. You will possess a diverse technical palette, with hands-on experience across a wide variety of database solutions, including DynamoDB, Redis, and AWS RDS; along with a thorough knowledge of cloud platforms like AWS. You are also someone who values observability, bringing familiarity with ...

Build and optimise RESTful APIs and contribute to GraphQL service development. Develop cloud‐native solutions using AWS services such as Lambda, API Gateway, DynamoDB, ECS, S3, and others. Contribute to microservices architecture, event‐driven systems, and distributed design patterns. Implement CI/CD pipelines using tools such … Required Skills & Experience Strong proficiency in Java, Spring Boot, and modern backend development. Hands‐on experience with AWS cloud services (Lambda, API Gateway, DynamoDB, ECS, S3, etc.). Solid understanding of RESTful API design and exposure to GraphQL. Experience with microservices, event‐driven architectures, and distributed systems. Familiarity ...

risk to stakeholders You Bring 6-8 years software engineering ; 2+ years leading delivery teams Deep AWS and Azure serverless experience (Lambda Functions, DynamoDB Cosmos DB , Step Functions Durable Functions ) Hands-on Claude Code , Claude Desktop , and Cowork proficiency Track record of building developer tooling, CI/ ...

containerization (Docker, Kubernetes) and modernizing legacy architectures. Technical Depth: Advanced knowledge of backend disciplines and practical experience with AWS services (ECS, EC2, Aurora, DynamoDB). Proven Autonomy: An experienced contributor who has managed entire projects or processes, coordinating across different job areas to solve difficult, multi-faceted problems. ...

full AI stack. Deep familiarity with LLMs and agent systems, evaluation frameworks, backend and API design (Python or TypeScript), data systems (PostgreSQL, DynamoDB, MongoDB, or similar), and cloud infrastructure (AWS, Azure, or GCP) including Kubernetes, Docker, and IaC tooling. Experience deploying AI into complex enterprise environments , including navigating ...

data teams, and own features from discovery to production. You should be confident with Scala, Python and JVM languages, work with PostgreSQL and DynamoDB, and operate in a DevOps culture using Kubernetes and AWS. The role offers hybrid working and a focus on real-world marketplace fintech problems. ...

deliver reliable, scalable backend services for 1M+ daily users. You’ll develop in TypeScript/Scala/Java/Kotlin, using PostgreSQL and DynamoDB, with Kafka, Kubernetes and AWS. We offer a hybrid working model, a sabbatical after 5 years, and generous health and wellbeing benefits. #J ...

Analyse large, complex datasets using SQL Develop dashboards and reporting using Tableau or Power BI Work with AWS services including S3, Athena and DynamoDB Assess and improve data quality across multiple data sources Identify trends, anomalies and emerging risks through data analysis Work closely with business stakeholders ...

improve Highly Desirable: Experience with non-relational databases, particularly ledger-style data models Experience with databases in the AWS Cloud, such as Aurora, DynamoDB and AWS Glue Experience with large, complex or mixed-quality datasets Experience within Insurance, Claims, Fraud or Financial Services GDPR and Information security awareness ...

improve Highly Desirable: Experience with non-relational databases, particularly ledger-style data models Experience with databases in the AWS Cloud, such as Aurora, DynamoDB and AWS Glue Experience with large, complex or mixed-quality datasets Experience within Insurance, Claims, Fraud or Financial Services GDPR and Information security awareness ...

data platform in AWS cloud Manage and maintain services in Cloudera on-cloud PaaS & AWS-native like Kafka, Flink, NiFi, Iceberg Tables & DynamoDB IaaC deployment in AWS cloud via Terraform & ArgoCD Update, upgrade & incident management of all platform components Advise our data platform developers on the selection ...

data platform in AWS cloud Manage and maintain services in Cloudera on-cloud PaaS & AWS-native like Kafka, Flink, NiFi, Iceberg Tables & DynamoDB IaaC deployment in AWS cloud via Terraform & ArgoCD Update, upgrade & incident management of all platform components Advise our data platform developers on the selection ...

data platform in AWS cloud Manage and maintain services in Cloudera on-cloud PaaS & AWS-native like Kafka, Flink, NiFi, Iceberg Tables & DynamoDB IaaC deployment in AWS cloud via Terraform & ArgoCD Update, upgrade & incident management of all platform components Advise our data platform developers on the selection ...

data platform in AWS cloud Manage and maintain services in Cloudera on-cloud PaaS & AWS-native like Kafka, Flink, NiFi, Iceberg Tables & DynamoDB IaaC deployment in AWS cloud via Terraform & ArgoCD Update, upgrade & incident management of all platform components Advise our data platform developers on the selection ...

release and beyond. Building highly available backend services that power integrations with external partners, using languages and technologies such as C#, T-SQL, DynamoDB, Redis, AWS and more. You'll be designing and building APIs that act as the bridge between our platform and partner systems, ensuring data ...

squad and owning delivery of substantive feature sets end-to-end. Designing data models and persistence patterns across Aurora RDS MySQL and DynamoDB – picking the right tool for the workload, tuning for performance at scale, and modelling for both transactional and high-throughput access patterns. Building resilient, event … Functions, EventBridge and IAM, and a track record of shipping production workloads on this stack. Deep data expertise across Aurora RDS MySQL and DynamoDB – complex schema and access‐pattern design, query tuning, indexing, single‐table vs multi‐table trade‐offs, and a pragmatic view on consistency, scaling ...