51 to 75 of 128 DynamoDB Jobs

platforms, and analytics tooling. Languages & Backend Python, Go (Golang), TypeScript Strong understanding of distributed systems, microservices, API-driven architectures Data & Analytics AWS Redshift, Athena, DynamoDB, Snowflake (or equivalent cloud data warehouses) Kafka, Kinesis, or other streaming/event platforms Experience building large-scale ingestion and normalisation pipelines Experience with ...

platforms, and analytics tooling. Languages & Backend Python, Go (Golang), TypeScript Strong understanding of distributed systems, microservices, API-driven architectures Data & Analytics AWS Redshift, Athena, DynamoDB, Snowflake (or equivalent cloud data warehouses) Kafka, Kinesis, or other streaming/event platforms Experience building large-scale ingestion and normalisation pipelines Experience with ...

platforms, and analytics tooling. Languages & Backend Python, Go (Golang), TypeScript Strong understanding of distributed systems, microservices, API-driven architectures Data & Analytics AWS Redshift, Athena, DynamoDB, Snowflake (or equivalent cloud data warehouses) Kafka, Kinesis, or other streaming/event platforms Experience building large-scale ingestion and normalisation pipelines Experience with ...

platforms, and analytics tooling. Languages & Backend Python, Go (Golang), TypeScript Strong understanding of distributed systems, microservices, API-driven architectures Data & Analytics AWS Redshift, Athena, DynamoDB, Snowflake (or equivalent cloud data warehouses) Kafka, Kinesis, or other streaming/event platforms Experience building large-scale ingestion and normalisation pipelines Experience with ...

platforms, and analytics tooling. Languages & Backend Python, Go (Golang), TypeScript Strong understanding of distributed systems, microservices, API-driven architectures Data & Analytics AWS Redshift, Athena, DynamoDB, Snowflake (or equivalent cloud data warehouses) Kafka, Kinesis, or other streaming/event platforms Experience building large-scale ingestion and normalisation pipelines Experience with ...

platforms, and analytics tooling. Languages & Backend Python, Go (Golang), TypeScript Strong understanding of distributed systems, microservices, API-driven architectures Data & Analytics AWS Redshift, Athena, DynamoDB, Snowflake (or equivalent cloud data warehouses) Kafka, Kinesis, or other streaming/event platforms Experience building large-scale ingestion and normalisation pipelines Experience with ...

platforms, and analytics tooling. Languages & Backend Python, Go (Golang), TypeScript Strong understanding of distributed systems, microservices, API-driven architectures Data & Analytics AWS Redshift, Athena, DynamoDB, Snowflake (or equivalent cloud data warehouses) Kafka, Kinesis, or other streaming/event platforms Experience building large-scale ingestion and normalisation pipelines Experience with ...

platforms, and analytics tooling. Languages & Backend Python, Go (Golang), TypeScript Strong understanding of distributed systems, microservices, API-driven architectures Data & Analytics AWS Redshift, Athena, DynamoDB, Snowflake (or equivalent cloud data warehouses) Kafka, Kinesis, or other streaming/event platforms Experience building large-scale ingestion and normalisation pipelines Experience with ...

platforms, and analytics tooling. Languages & Backend Python, Go (Golang), TypeScript Strong understanding of distributed systems, microservices, API-driven architectures Data & Analytics AWS Redshift, Athena, DynamoDB, Snowflake (or equivalent cloud data warehouses) Kafka, Kinesis, or other streaming/event platforms Experience building large-scale ingestion and normalisation pipelines Experience with ...

platforms, and analytics tooling. Languages & Backend Python, Go (Golang), TypeScript Strong understanding of distributed systems, microservices, API-driven architectures Data & Analytics AWS Redshift, Athena, DynamoDB, Snowflake (or equivalent cloud data warehouses) Kafka, Kinesis, or other streaming/event platforms Experience building large-scale ingestion and normalisation pipelines Experience with ...

platforms, and analytics tooling. Languages & Backend Python, Go (Golang), TypeScript Strong understanding of distributed systems, microservices, API-driven architectures Data & Analytics AWS Redshift, Athena, DynamoDB, Snowflake (or equivalent cloud data warehouses) Kafka, Kinesis, or other streaming/event platforms Experience building large-scale ingestion and normalisation pipelines Experience with ...

platforms, and analytics tooling. Languages & Backend Python, Go (Golang), TypeScript Strong understanding of distributed systems, microservices, API-driven architectures Data & Analytics AWS Redshift, Athena, DynamoDB, Snowflake (or equivalent cloud data warehouses) Kafka, Kinesis, or other streaming/event platforms Experience building large-scale ingestion and normalisation pipelines Experience with ...

teams to align migration processes with organisational goals and regulatory standards. Proficiency in AWS ETL technologies, including Glue, Data Sync, DMS, Step Functions, Redshift, DynamoDB, Athena, Lambda, RDS, EC2 and S3 Datalake, CloudWatch for building and optimizing ETL pipelines and data migration workflows. Working knowledge of Azure data engineering ...

Backend: PHP (Laravel), Python (for AI/ML workflows) Frontend: React, Next.js (preferred), with flexibility for other modern frameworks Infrastructure: AWS (including Lambda, S3, DynamoDB), DigitalOcean Data: MySQL, Redis, NoSQL stores Dev tools: GitHub, CI/CD, Docker AI & Automation: LLM APIs, vector databases, agentic workflow tools, n8n, Claude ...

Django framework. We stand by a serverless first approach and thus take advantage of the multitude of services from AWS such as Lambda, DynamoDB, RDS, AppSync, and many more to complete our tech stack. We are proud of our tech stack and with the help and guidance ...

across all phases of development Lifecyle. Proven experience with AWS services such as S3, EC2, EKS/ECS, Lambda, Glue, Athena, Step Functions, DynamoDB, and RDS. Proven experience with Python and Spark for distributed and real time data processing. Strong quantitative reasoning and software design skills. Deep understanding ...

knowledge and experience in the following areas: Extensive experience with Java 21 and Spring Boot 3 Hands on experience with AWS components (specifically EKS, DynamoDB, Kinesis, and OpenSearch) and Infrastructure as Code tools like Terraform A strong understanding of event driven microservice architecture, Docker, and Kubernetes Context ...

disciplinary teams Deep knowledge of database technologies: Distributed systems (e.g., Spark, Hadoop, EMR) RDBMS (e.g., SQL Server, Oracle, PostgreSQL, MySQL) NoSQL (e.g., MongoDB, Cassandra, DynamoDB, Neo4j) Solid understanding of software engineering best practices - code reviews, testing frameworks, CI/CD, and code maintainability Experience deploying applications into production environments ...

investment systems, and risk management tools. Build and deploy cloud-based solutions using Amazon Web Services (AWS), including services such as EC2, S3, RDS, DynamoDB, and Lambda to create scalable, reliable, and secure infrastructure. Implement and manage containerized applications using Kubernetes, ensuring seamless orchestration, scaling, and resilience … optimization and building scalable systems for high-volume, high-frequency financial applications. Strong experience working with Amazon Web Services (AWS), including EC2, S3, RDS, DynamoDB, Lambda, and other cloud-native technologies. Hands-on experience with Kubernetes for deploying, managing, and scaling containerized applications in a cloud environment. Solid understanding ...

maintaining legacy systems to ensure performance and stability, including robust error handling and code quality assurance to uphold system performance. 6. Utilize PostgreSQL, Amazon DynamoDB, Snowflake, Redis, and Amazon S3 to manage structured data, support caching strategies, apply schema-based content validation to ensure data consistency, and handle file ...

have a good understanding of system design and scalability You're familiar with other technology in the stack including: AWS, Terraform, Docker, PostgreSQL, DynamoDB, CI/CD, GitHub actions, Blacksmith runners You're collaborative and pragmatic with great communication skills, keen to input into technical discussion and decision making ...

have a good understanding of system design and scalability You're familiar with other technology in the stack including: AWS, Terraform, Docker, PostgreSQL, DynamoDB, CI/CD, GitHub actions, Blacksmith runners You're collaborative and pragmatic with great communication skills, keen to input into technical discussion and decision making ...

such as multi-model orchestration and agentic workflows. Required Skills & Experience Strong experience designing and operating cloud-native platforms on AWS (Lambda, API Gateway, DynamoDB, S3, CloudWatch). Hands-on experience with Databricks and large-scale data or embedding pipelines. Proven experience building and operating production AI systems , including ...

Building + optimizing .NET Core microservices and RESTful APIs. Developing + maintaining scalable serverless applications using AWS services such as: AWS Lambda, API Gateway, DynamoDB, S3, Step Functions, EventBridge, SNS/SQS, AppSync. Expertise in AWS serverless services (Lambda, API Gateway, S3, DynamoDB), DevOps practices + CI/… Ensuring application security, monitoring, logging using AWS CloudWatch + IAM best practices. Technical Environment: Git, Docker, Containerization, automated deployment, Databases (SQL/NoSQL, PostgreSQL, DynamoDB), Infrastructure as Code (IaC), AWS CDK, Terraform, CloudFormation. Benefits: Salary to £60k (DOE) + Hybrid Work + Bonus + Pension + 22 days holiday ...

Schema, OpenAPI, AsyncAPI) to ensure consistent and reusable domain models. Cloud & Platform Engineering (AWS) Select and integrate AWS services (EC2, Lambda, API Gateway, S3, DynamoDB, RDS, ECS/EKS, etc.) based on architectural requirements. Ensure cloud solutions meet organisational standards for cost, performance, security, and operational readiness. Promote Infrastructure … Excellent communication skills and the ability to influence technical decisions. Desirable Skills AWS certification (Architect Associate/Professional). Experience with API Gateway, Lambda, DynamoDB, or Kubernetes-based workloads. Experience with event-driven architecture (SNS/SQS, Kinesis, Kafka). Experience with CI/CD pipelines, DevOps tooling ...