AWS Data & Integration Engineer

Required skills: AWS, Python, REST API, JSON, SQL, CI/CD, Git 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