Job Summary

We are looking for an experienced Data Integration Engineer to design, develop, and maintain reliable data and application integration solutions. The adecuado candidate should have strong hands-on experience with AWS integration services, REST APIs, event-driven architecture, cloud-based processing, and integration with legacy systems.

Key Responsibilities

- Design, develop, and maintain reliable data and application integration solutions.
- Build secure, scalable, and reusable REST APIs and integration services .
- Implement event-driven integrations using Amazon SNS, SQS, and EventBridge .
- Develop cloud-based processing workflows using AWS Lambda and Step Functions .
- Deploy and support containerized integration workloads using Amazon ECS .
- Design secure and cost-effective file and object storage solutions using Amazon S3 .
- Integrate modern cloud services with legacy systems, enterprise applications, databases, and external platforms.
- Analyze data requirements and create logical and physical data models.
- Implement data validation, transformation, enrichment, routing, error handling, retry, and reconciliation mechanisms.
- Ensure data quality, integrity, lineage, encryption, and secure access across integrations.
- Develop automated tests and support CI/CD-based deployment of data and integration components.
- Implement logging, monitoring, tracing, alerting, and operational dashboards.
- Troubleshoot API failures, event-processing issues, data discrepancies, and legacy-system constraints.
- Create API specifications, data mappings, integration diagrams,



runbooks, and technical documentation.

Required Skills
- 5–7 years of experience in Data Engineering, Integration Engineering, Backend Development, or Cloud Integration .
- Hands-on experience with AWS services:
- AWS ECS
- AWS Lambda
- AWS Step Functions
- Amazon S3
- Strong understanding of REST API design , API versioning, authentication, validation, and error handling.
- Experience implementing event-driven patterns using SNS, SQS, or EventBridge .
- Experience integrating legacy platforms with modern cloud-based services.
- Strong understanding of data modeling and storage strategy selection.
- Knowledge of synchronous and asynchronous integration patterns.
- Understanding of data security, encryption, data quality, and access control.
- Experience writing automated tests and deploying services through CI/CD pipelines .
- Strong troubleshooting, documentation, and cross-team collaboration skills.

Nice to Have
- Python / FastAPI or another modern backend framework.
- Knowledge of relational, NoSQL, object storage, and analytical data platforms.
- Experience with schema management, event contracts, idempotency, dead-letter queues, and replay mechanisms.
- Familiarity with Terraform, Docker, Kubernetes , and AWS monitoring services.
- Relevant AWS Developer, Data, or Solutions Architecture certification.

Work Location Toluca, Mexico

Hybrid Work Model: 3 Days Onsite / 2 Days Remote

Candidates must be based in or able to commute to Toluca, Mexico and be comfortable working onsite 3 days per week.

📌 Data Integration Engineer - Toluca, Mexico (Hybrid – 3 Days Onsite / 2 Days Remote) (Toluca de Lerdo)
🏢 GeorgiaTEK Systems
📍 Toluca de Lerdo