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AWS Data & Integration Engineer (2/964)

InfoletEngineering & Development
Salary
PLN 25K–PLN 32K/mo
PLN per month
Hiring from
Probably Worldwide
Work type
Remote
Posted
Oct 1, 2026
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SUMMARY

💰150 - 190 PLN/h on B2B

📍100% remote

⏱ 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 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 systems such as 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


MUST HAVE

  • 6+ 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 Git
  • Strong analytical and troubleshooting skills


NICE TO HAVE

  • 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

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