1 to 25 of 84 Permanent Amazon SQS Jobs

Confluence Jira Git Gitlab Terraform Kubernetes AWS S3 AWS EFS AWS VPC AWS Loadbalancers AWS Cloudwatch AWS Cloudtrail AWS DMS AWS Direct connect AWS SQS AWS RDS AWS EC2 AWS VPC Peering AWS Lamda AWS Private Link AWS Route 53 AWS ECR Python (Lambda) NodeJS (Lambda) Redshift Palo Alto more »

control• Node.js, TypeScript, JavaScript, Python, SQL, Docker, Shell, Prefect (Saas) - for creating/orchestrating apps and data pipelines.• AWS (including CDK, Lambda, EventBridge, Batch, SQS, CloudWatch, containers (ECS or EKS), API gateway, cloudfront).• Data stores - S3, Mongo, Postgres/PostGIS (Aurora), ElasticSearch• Ops - CI/CD via GitHub more »

You’ll have some experience using tools such as Symfony (Laravel or similar) MySQL (Postgres or similar) MongoDB, or other NoSQL Composer package management SQS or other queue based systems Gitlab/Github or similar Understanding of AWS Lambda Terraform Docker Employee Benefits Share options 23 days annual leave more »

and/or Python . Practical experience of: Databases: NoSQL and RDBMS, Compute: AWS Lambda, containers, and orchestration (EC2, Fargate, Kubernetes, Messaging/integration: SQS, SNS, EventBridge, Storage: S3, EBS, EFS. An understanding of event-driven architecture An understanding of lean/agile development methodologies This is a fantastic more »

You build it, you run it. Key Requirements Several years experience as a backend engineer Experience with AWS: ECS, Lambda, API Gateway, SNS/SQS Strong testing practices, especially Test Driven Development Experience with Enterprise Integration Patterns An end-to-end systems-mindset; we are building a product that more »

an energetic and dynamic environmentCompetent and comfortable working with Typescript, Serverless technologiesYou should have extensive experience working with AWS (API Gateway, Lambda, Dynamo, DB, SQS, Kinesis, S3, ELK + More)Great experience in implementing best practices like TDD, SOLID and clean codeExperience in developing REST-APIs, Microservices, relational databases more »

advanced analytics Proficient with a range of open-source frameworks and development tools - .Net Framework (Standard/Core), AWS Lambda and Step Functions, SNS, SQS, S3, NoSQL databases, Git/Unity, ReactJS/Modern UI frameworks etc. Exposure to some of the following concepts: object-oriented programming, quality assurance … and desire to write simple, adaptive and iterative code. Desirable Experience building containerized applications and deploying to public or private clouds, such as Amazon Web Services (AWS) or similar providers. Familiarity with modern front-end frameworks such as React or similar Proven working knowledge of Risk analytics platforms more »

and design patterns. Familiarity with microservices and data intensive applications and architectures. Knowledge of AWS services such as S3, Aurora Postgres, Fargate, Kubernetes, RabbitMQ, SQS, Redis, Cognito, KMS. Knowledge of .NET frameworks such as Entity Framework and Dapper Knowledge of and experience with event-driven architectures, serverless and data more »

complex, notebook-based pipelines. Demonstrated experience in Python data analysis libraries such as Pandas. Demonstrated experience utilizing Cloud services such as Lambda, SNS/SQS, or EC2. Demonstrated experience with DevOps tools to include Cloudwatch, Lambda, SQS, Dynamo and RDS. Demonstrated experience working with Elastic, ElasticSearch/Logstash more »

complex, notebook-based pipelines. Demonstrated experience in Python data analysis libraries such as Pandas. Demonstrated experience utilizing Cloud services such as Lambda, SNS/SQS, or EC2. Demonstrated experience with DevOps tools to include Cloudwatch, Lambda, SQS, Dynamo and RDS. Demonstrated experience working with Elastic, ElasticSearch/Logstash more »

complex, notebook-based pipelines. Demonstrated experience in Python data analysis libraries such as Pandas. Demonstrated experience utilizing Cloud services such as Lambda, SNS/SQS, or EC2. Demonstrated experience with DevOps tools to include Cloudwatch, Lambda, SQS, Dynamo and RDS. Demonstrated experience working with Elastic, ElasticSearch/Logstash more »

complex, notebook-based pipelines. Demonstrated experience in Python data analysis libraries such as Pandas. Demonstrated experience utilizing Cloud services such as Lambda, SNS/SQS, or EC2. Demonstrated experience with DevOps tools to include Cloudwatch, Lambda, SQS, Dynamo and RDS. Demonstrated experience working with Elastic, ElasticSearch/Logstash more »

complex, notebook-based pipelines. Demonstrated experience in Python data analysis libraries such as Pandas. Demonstrated experience utilizing Cloud services such as Lambda, SNS/SQS, or EC2. Demonstrated experience with DevOps tools to include Cloudwatch, Lambda, SQS, Dynamo and RDS. Demonstrated experience working with Elastic, ElasticSearch/Logstash more »

complex, notebook-based pipelines. Demonstrated experience in Python data analysis libraries such as Pandas. Demonstrated experience utilizing Cloud services such as Lambda, SNS/SQS, or EC2. Demonstrated experience with DevOps tools to include Cloudwatch, Lambda, SQS, Dynamo and RDS. Demonstrated experience working with Elastic, ElasticSearch/Logstash more »

complex, notebook-based pipelines. Demonstrated experience in Python data analysis libraries such as Pandas. Demonstrated experience utilizing Cloud services such as Lambda, SNS/SQS, or EC2. Demonstrated experience with DevOps tools to include Cloudwatch, Lambda, SQS, Dynamo and RDS. Demonstrated experience working with Elastic, ElasticSearch/Logstash more »

complex, notebook-based pipelines. Demonstrated experience in Python data analysis libraries such as Pandas. Demonstrated experience utilizing Cloud services such as Lambda, SNS/SQS, or EC2. Demonstrated experience with DevOps tools to include Cloudwatch, Lambda, SQS, Dynamo and RDS. Demonstrated experience working with Elastic, ElasticSearch/Logstash more »

complex, notebook-based pipelines. Demonstrated experience in Python data analysis libraries such as Pandas. Demonstrated experience utilizing Cloud services such as Lambda, SNS/SQS, or EC2. Demonstrated experience with DevOps tools to include Cloudwatch, Lambda, SQS, Dynamo and RDS. Demonstrated experience working with Elastic, ElasticSearch/Logstash more »

complex, notebook-based pipelines. Demonstrated experience in Python data analysis libraries such as Pandas. Demonstrated experience utilizing Cloud services such as Lambda, SNS/SQS, or EC2. Demonstrated experience with DevOps tools to include Cloudwatch, Lambda, SQS, Dynamo and RDS. Demonstrated experience working with Elastic, ElasticSearch/Logstash more »

complex, notebook-based pipelines. Demonstrated experience in Python data analysis libraries such as Pandas. Demonstrated experience utilizing Cloud services such as Lambda, SNS/SQS, or EC2. Demonstrated experience with DevOps tools to include Cloudwatch, Lambda, SQS, Dynamo and RDS. Demonstrated experience working with Elastic, ElasticSearch/Logstash more »

complex, notebook-based pipelines. Demonstrated experience in Python data analysis libraries such as Pandas. Demonstrated experience utilizing Cloud services such as Lambda, SNS/SQS, or EC2. Demonstrated experience with DevOps tools to include Cloudwatch, Lambda, SQS, Dynamo and RDS. Demonstrated experience working with Elastic, ElasticSearch/Logstash more »

complex, notebook-based pipelines. Demonstrated experience in Python data analysis libraries such as Pandas. Demonstrated experience utilizing Cloud services such as Lambda, SNS/SQS, or EC2. Demonstrated experience with DevOps tools to include Cloudwatch, Lambda, SQS, Dynamo and RDS. Demonstrated experience working with Elastic, ElasticSearch/Logstash more »

complex, notebook-based pipelines. Demonstrated experience in Python data analysis libraries such as Pandas. Demonstrated experience utilizing Cloud services such as Lambda, SNS/SQS, or EC2. Demonstrated experience with DevOps tools to include Cloudwatch, Lambda, SQS, Dynamo and RDS. Demonstrated experience working with Elastic, ElasticSearch/Logstash more »

complex, notebook-based pipelines. Demonstrated experience in Python data analysis libraries such as Pandas. Demonstrated experience utilizing Cloud services such as Lambda, SNS/SQS, or EC2. Demonstrated experience with DevOps tools to include Cloudwatch, Lambda, SQS, Dynamo and RDS. Demonstrated experience working with Elastic, ElasticSearch/Logstash more »

complex, notebook-based pipelines. Demonstrated experience in Python data analysis libraries such as Pandas. Demonstrated experience utilizing Cloud services such as Lambda, SNS/SQS, or EC2. Demonstrated experience with DevOps tools to include Cloudwatch, Lambda, SQS, Dynamo and RDS. Demonstrated experience working with Elastic, ElasticSearch/Logstash more »

complex, notebook-based pipelines. Demonstrated experience in Python data analysis libraries such as Pandas. Demonstrated experience utilizing Cloud services such as Lambda, SNS/SQS, or EC2. Demonstrated experience with DevOps tools to include Cloudwatch, Lambda, SQS, Dynamo and RDS. Demonstrated experience working with Elastic, ElasticSearch/Logstash more »