AWS Data & Integration Engineer (2/964)

Infolet

Kraków

Hybrid

PLN 180,000 - 260,000

Full time

3 days ago
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Job summary

Infolet is seeking an experienced software/data integration engineer to modernize an ODS platform. You will design AWS-native, near-real-time, event-driven integrations and build APIs and data flows using REST/JSON.

You will work with EventBridge, SQS, SNS, Lambda, API Gateway, S3, and CloudWatch, implementing robust data contracts, versioning, and transformations. Migration from ODI, MuleSoft, and Heroku is included.

Qualifications

  • 6+ years of experience in software/data integration engineering.
  • Hands-on experience with AWS services (EventBridge, SQS/SNS, Lambda, API Gateway, S3, CloudWatch, IAM/KMS).
  • Experience with relational databases and enterprise data integration.
  • Hands-on with open table formats like Apache Iceberg or Apache Hudi.
  • Knowledge of CI/CD and Git.

Responsibilities

  • 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 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 to define reusable enterprise integration patterns.

Skills

AWS
Python
REST APIs
JSON
SQL
Event-driven architecture
Data integration
Git
CI/CD
Troubleshooting

Job description

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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