Загрузи резюме, чтобы видеть мэтчи с вакансиейЗагрузи резюме, чтобы видеть мэтч с вакой
подготовься к отклику
ai-инструменты
Чтобы адаптировать резюме под вакансию или составить сопроводительное письмо, загрузи резюме
описание
The project is modernizing an existing ODS platform by migrating batch-based and Heroku-based integrations to an AWS-native, near-real-time, event-driven architecture. It aims to build a scalable and reliable integration layer supporting multiple data sources and downstream systems.
задачи
Design and develop integration solutions based on AWS and event-driven architecture
Build APIs and data flows using REST/JSON
Work with EventBridge, SQS, SNS, Lambda, API Gateway, S3, and CloudWatch
Implement data contracts, schema validation, versioning, and data transformations
Build mechanisms for retry, DLQ, idempotency, error handling, and replay
Integrate data from Oracle, SQL Server, PostgreSQL, Salesforce, and ServiceNow
Support migration of existing integrations from ODI, MuleSoft, and Heroku to AWS
Develop unit and integration tests and support performance testing
Participate in deployments, production cutovers, troubleshooting, and post-production support
Collaborate with the Principal Architect and other teams to define reusable enterprise integration patterns
требования
6+ Years of experience in software/data integration engineering
Hands-on experience with AWS
Development experience in Python
Strong knowledge of REST APIs, JSON, SQL, and event-driven architecture
Experience with AWS services including EventBridge, SQS/SNS, Lambda, API Gateway, S3, CloudWatch, and IAM/KMS
Experience with relational databases and enterprise data integration
Hands-on experience with open table formats such as Apache Iceberg or Apache Hudi
Knowledge of CI/CD and Git
Strong analytical and troubleshooting skills
Будет плюсом: Kafka/Amazon MSK, Terraform/CloudFormation, DynamoDB/DocumentDB, Redshift, Data Lake architecture, CDC technologies, ODI, MuleSoft or Heroku experience, experience modernizing legacy integration platforms to AWS, experience with high-volume or near-real-time processing, understanding of reliability, scalability, security, and production readiness principles
