AWS Data & Integration Engineer

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