Senior Data Integration Engineer (IDMC) | Cloud Pipelines

NTT DATA, Inc.; Región Centro; Presencial; MXN 900.000 - 1.300.000; Jornada completa

Descripción de la vacante

NTT DATA seeks a Software Development Senior Analyst to join our team in GDL, Jalisco, Mexico. The role focuses on designing, developing, and operating enterprise data pipelines using Informatica IDMC with cloud-agnostic environments such as Azure, AWS, and GCP.

You will design and optimize ingestion workflows, support CLAIRE AI-assisted development, and monitor platform operations to meet SLA targets across on-prem and cloud infrastructures.

Formación

• Data integration engineer specialized in designing, developing, and operating enterprise data pipelines on IDMC with cloud-agnostic environments.

Responsabilidades

• Design and implement ingestion, transformation, and distribution pipelines with CDI and Cloud Mass Ingestion.
• Development of data pipelines using AWS Glue, S3, Step Functions, Athena to extract data.
• Provide support to incidents related to data pipelines and data publishing, ensuring quality of services for data users.
• Operate and maintain integration infrastructure (Secure Agents, runtimes) on Azure and AWS under SLA standards.
• Apply CLAIRE GPT/Copilot to optimize mapping development and reduce delivery time.
• Monitor IPU consumption and propose cost and performance optimizations.

Conocimientos

Cloud Data Integration

Cloud Mass Ingestion

Cloud Application Integration

IDMC Migration

Platform Operations

CLAIRE AI Tools

AWS Services

Terraform / CI/CD

Advanced SQL

Data Warehouse

Educación

Informatica ICP

Databricks Data Engineer

Herramientas

Informatica IDMC

PowerCenter

Databricks

AWS Glue

S3

Terraform

Descripción del empleo

NTT DATA seeks a Software Development Senior Analyst to join our team in GDL, Jalisco, Mexico. The role focuses on designing, developing, and operating enterprise data pipelines using Informatica IDMC with cloud-agnostic environments such as Azure, AWS, and GCP.

You will design and optimize ingestion workflows, support CLAIRE AI-assisted development, and monitor platform operations to meet SLA targets across on-prem and cloud infrastructures.