Data Integration Engineer

GeorgiaTEK Systems Inc.; Toluca; Híbrido; MXN 550.000 - 850.000; Jornada completa

Descripción de la vacante

HSBC Toluca is seeking an experienced Data Integration Engineer to design, develop, and support reliable data and application integration solutions across cloud platforms, enterprise apps, legacy systems, databases, and external services.

The ideal candidate will have hands‑on experience with AWS integration services, REST APIs, event‑driven architectures, serverless workflows, data modeling, and CI/CD, with a strong focus on security, scalability, reliability, and data quality.

Formación

• 5–7 years of experience in Data Engineering, Integration Engineering, Backend Development, or Cloud Integration.
• Hands-on experience with AWS services, particularly ECS, Lambda, Step Functions, and S3.
• Strong understanding of REST API design and event-driven architectures.

Responsabilidades

• Design, develop, and maintain reliable data and integration solutions across cloud platforms.
• Build secure, scalable REST APIs and integration services.
• Develop cloud-based processing workflows using AWS Lambda and Step Functions.
• Deploy and support containerized workloads using Amazon ECS.
• Design secure storage solutions with Amazon S3 and ensure data quality.

Conocimientos

AWS

REST API design

Event-driven architectures

CI/CD pipelines

Data modeling

Security & encryption

Troubleshooting

Herramientas

Amazon ECS

AWS Lambda

AWS Step Functions

Amazon S3

Descripción del empleo

Work Model: Hybrid – 3 days per week onsite at HSBC office

Languages: Spanish and English are an advantage

Candidates must be based in or willing to relocate to Toluca, Mexico.

This is a hybrid position requiring 3 days per week onsite at the HSBC office in Toluca. Remote-only candidates should not be considered.

Role Overview

We are looking for an experienced Data Integration Engineer to design, develop, and support reliable data and application integration solutions across modern cloud platforms, enterprise applications, legacy systems, databases, and external services.

The ideal candidate will have strong hands‑on experience with AWS integration services, REST APIs, event‑driven architectures, serverless workflows, data modeling, and CI/CD, with a strong focus on security, scalability, reliability, and data quality.

Key Responsibilities

• Design, develop, and maintain reliable and scalable data and application integration solutions.
• Build secure, scalable, and reusable REST APIs and integration services.
• Amazon SNS
• Amazon SQS
• Amazon EventBridge
• Develop cloud-based processing workflows using:
• AWS Lambda
• AWS 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 develop logical and physical data models.
• Evaluate and select appropriate storage strategies based on access patterns, scalability, security, performance, and retention requirements.
• Implement integration capabilities including:
• Data validation
• Transformation
• Routing
• Retry mechanisms
• Ensure data quality, integrity, lineage, encryption, and secure access across integration workflows.
• Develop automated tests and support CI/CD-based deployment of data and integration components.
• Implement logging, monitoring, tracing, alerting, and operational dashboards for integration flows.
• Troubleshoot API failures, event-processing issues, data discrepancies, and legacy-system constraints.
• Produce API specifications, data mappings, integration diagrams, support runbooks, and technical documentation.

Required Qualifications

• 5–7 years of experience in Data Engineering, Integration Engineering, Backend Development, or Cloud Integration.
• Hands‑on experience with AWS services, particularly:
• Amazon ECS
• AWS Lambda
• AWS Step Functions
• Amazon S3
• Strong understanding of REST API design, including:
• Validation
• Experience implementing event‑driven architectures using SNS, SQS, and/or EventBridge.
• Demonstrated experience integrating legacy platforms with modern cloud-based services.
• Strong understanding of data modeling and storage strategy selection.
• Knowledge of both 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, analytical, and cross‑functional collaboration skills.

Nice to Have

• Experience with Python, FastAPI, or another modern backend framework.
• Knowledge of:
• Relational databases
• NoSQL databases
• Object storage
• Analytical data platforms
• Experience with schema management, event contracts, idempotency, dead‑letter queues, and replay mechanisms.
• Familiarity with:
• Terraform
• Docker
• AWS monitoring and observability services
• Relevant AWS Developer, Data, or Solutions Architect certification.