AWS Data & Integration Engineer
W skrócie
AWS Data & Integration Engineer needed in Kraków for ODS modernization. Develop event-driven integrations on AWS, build APIs, work with AWS services (Event
Bridge, Lambda, SQS/SNS), SQL, Python, and data formats like Iceberg/Hudi. Requires 6+ years of experience.
Słowa kluczowe
Skrót przygotowany przez AI na podstawie treści ogłoszenia.
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 architecture
- Build APIs and data flows using REST/JSON
- Work with EventBridge, SQS, SNS, Lambda, API Gateway, S3 and Cloud
- Watch
- Implement data contracts, schema validation, versioning, and data transformations
- Build mechanisms for retry, DLQ, idempotency, error handling, and replay
- Integrate data from systems such as Oracle, SQL Server, PostgreSQL, Salesforce, and Service
- Now
- 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
- MUST HAVE6+ years of experience in software/data integration engineering
- Strong hands-on experience with AWS
- Development experience in Python
- Strong knowledge of REST APIs, JSON, SQL, and event-driven architecture
- Experience with several AWS services, including: EventBridge, SQS / SNS, Lambda, API Gateway, S3, CloudWatch, IAM / KMS
- Experience with relational databases and enterprise data integration
- Hands-on working experience with open table formats, such as Apache Iceberg or Apache Hudi
- Knowledge of CI/CD and GitStrong analytical and troubleshooting skillsNICE TO HAVE
- Kafka / Amazon MSK
- Terraform / Cloud
- Formation
- DynamoDB / Document
- DBRedshift
- Data Lake architectureCDC technologiesODI, 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
| Opublikowana | 2026-10-06 |
| Źródło |
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