AWS Data and Integration Engineer

SUMMARY 💰150 - 190 PLN/h on B2B 📍Remote or hybrid (Kraków) ⏱ Project: 3 months 💼 Senior PROJECT You will join a project focused on modernizing an existing ODS (Operational Data Store) platform, where current batch-based and Heroku-based integrations are being migrated to an AWS-native, near-real-time, event-driven architecture. The goal of the project is to build a scalable and reliable integration layer supporting multiple data sources and downstream systems. YOU WILL Design and develop integration solutions based on AWS and event-driven architectureBuild APIs and data flows using REST/JSONWork with EventBridge, SQS, SNS, Lambda, API Gateway, S3 and CloudWatchImplement data contracts, schema validation, versioning, and data transformationsBuild mechanisms for retry, DLQ, idempotency, error handling, and replayIntegrate data from systems such as Oracle, SQL Server, PostgreSQL, Salesforce, and ServiceNowSupport migration of existing integrations from ODI, MuleSoft, and Heroku to AWSDevelop unit and integration tests and support performance testingParticipate in deployments, production cutovers, troubleshooting, and post-production supportCollaborate with the Principal Architect and other teams to define reusable enterprise integration patterns MUST HAVE 6+ years of experience in software/data integration engineeringStrong hands-on experience with AWSDevelopment experience in PythonStrong knowledge of REST APIs, JSON, SQL, and event-driven architectureExperience with several AWS services, including: EventBridge, SQS / SNS, Lambda, API Gateway, S3, CloudWatch, IAM / KMSExperience with relational databases and enterprise data integrationKnowledge of CI/CD and GitStrong analytical and troubleshooting skills NICE TO HAVE Kafka / Amazon MSKTerraform / CloudFormationDynamoDB / DocumentDBRedshiftData Lake architectureCDC technologiesODI, MuleSoft, or Heroku experienceExperience modernizing legacy integration platforms to AWSExperience with high-volume or near-real-time processingUnderstanding of reliability, scalability, security, and production readiness principles