18 publicaciones de empleo destacadas de data engineer en loreto, dif (¡Están contratando!)

Software Development Senior Analyst
NTT Ltd —Ciudad de México, CDMX
- Azure
- Oracle
- SQL
10d
Academia Data Engineering Semi Sr. Snowflake - Databricks | Remote 2748
Xideral —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Inglés
- SQL
- Licenciatura
Postulación rápida
Consultor/a de datos en Azure
SDG Group —Ciudad de México, CDMX
- Azure
- Inglés
- SQL
Postulación rápida
SUB-DIRECTOR DESARROLLO DE SISTEMAS
Grupo Financiero Banorte —Ciudad de México, CDMX
- Oracle
- DevOps
- Ingeniería
12d
SUB-GERENTE DE SOPORTE
Grupo Financiero Banorte —Ciudad de México, CDMX
- Ingeniería
- Inglés
- Experiencia en bases de datos
PYTHON DEVELOPER
Nova Solutions —Ciudad de México, CDMX
- Azure
- Oracle
- DevOps
Consultor Databricks Senior
NetPartners International —Ciudad de México, CDMX
- Español
- Azure
- DevOps
Postulación rápida
Senior Data Engineering Technical Lead – Informatica IDMC & AWS | Remote 2866
Xideral —Ciudad de México, CDMX
- Home Office (Desde casa)
- Oracle
- Administración de personal
- Inglés
- Seguro de vida
Postulación rápida
2d
Ingeniero de Datos – Google Cloud Platform (GCP)
Hogares Unión —Ciudad de México, CDMX
- Inglés
- SQL
- Python
Postulación rápida
Data Management and BI Senior Executive, GOC
WPP Media —Ciudad de México, CDMX
- Home Office (Desde casa)
- Azure
- DevOps
- SQL
- Vacaciones adicionales o permisos con goce de sueldo
- Seguro de vida
Analytics Associate Director, GOC
WPP Media —Ciudad de México, CDMX
- Azure
- Administración de personal
- DevOps
- Seguro dental
- Vacaciones adicionales o permisos con goce de sueldo
Ingeniero de Datos Sr Snowflake + AWS
Bluetab, an IBM Company —Ciudad de México, CDMX
- Trabajo híbrido
- SQL
- Capacidad analítica
- Control de calidad
Consultor Snow Flake Senior
NetPartners International —Ciudad de México, CDMX
- Español
- Azure
- DevOps
Postulación rápida
Ingeniero de Datos Senior – GCP
Capital Empresarial Horizonte —Benito Juárez, CDMX
- $60,000 a $90,000 por mes
- Tiempo completo
- Azure
- Oracle
- DevOps
Postulación rápida
2d
ESPECIALISTA APLICACIONES
Grupo Financiero Banorte —Ciudad de México, CDMX
- Oracle
- DevOps
- Ingeniería
Ingeniero/a de Datos Senior (Híbrido)
SimplePractice —Ciudad de México, CDMX
- Informática
- DevOps
- Ingeniería
- Gastos de reubicación
- Seguro dental
Postulación rápida
Senior Clinical Data Engineer (LATAM)
Precision Medicine Group —Ciudad de México, CDMX
- Home Office (Desde casa)
- Administración de personal
- Inglés
- SQL
Senior Clinical Data Engineer (LATAM)
Precision for Medicine —Ciudad de México, CDMX
- Home Office (Desde casa)
- Administración de personal
- Inglés
- SQL
Postulación rápida

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Software Development Senior Analyst

NTT Ltd -
Ciudad de México, CDMX

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Información del empleo

Hace 10 días

Cualificaciones

Azure
Oracle
AWS Certification
Microsoft SQL Server
NoSQL
Google Cloud Platform
MongoDB
SQL
PostgreSQL
Desarrollo de software
S3
Linux
Redshift
DynamoDB
Informatica
Jenkins

Descripción completa del empleo

Req ID: 387117

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

We are currently seeking a Software Development Senior Analyst to join our team in CDMX, Jalisco (MX-JAL), Mexico (MX).

ROLE SUMMARY
Data integration engineer specialized in designing, developing, and operating enterprise data pipelines on ETL tools; Informatica IDMC (Intelligent Data Management Cloud / IICS) as the primary platform. Able to work across cloud-agnostic environments (Azure, AWS, GCP)
REQUIRED TECHNICAL SKILLS
Informatica IDMC · Integration Core

Cloud Data Integration (CDI): Mapping Designer, SQL ELT with pushdown optimization (full/source/target), Taskflows, mapping partitioning, Dynamic Mappings, parameterization, file listeners, intelligent structure models (CLAIRE-powered), and performance tuning.
Cloud Mass Ingestion (CMI): batch and near-real-time ingestion from heterogeneous sources across its variants: Mass Ingestion Databases (CDC), Files, Applications, and Streaming.
Cloud Application Integration (CAI): Process Designer, service connectors, guides, and business processes; API and microservices integration.
PowerCenter to IDMC: migration and modernization of on-premises pipelines using structured methodology, CDI-PC, and migration accelerators.
Platform operations: administration of Secure Agents and runtime environments (Secure Agent Groups), monitoring, and SLA management.

AI-Assisted Development (CLAIRE)

CLAIRE GPT / CLAIRE Copilot: assisted generation of mappings, debugging of transformations, and automatic pipeline documentation through natural language within IDMC.
Awareness of the new agentic capabilities (CLAIRE Agents, Fall 2025 release) for headless ingestion and transformation flows.

Platform FinOps

Understanding of the IPU (Informatica Processing Units) consumption model and per-service cost optimization.

Cloud-Agnostic

AWS: Glue, S3, Step Functions, Athena (core to the role).
Azure: Azure Data Factory (ADF).
IaC CI/CD for pipelines: Terraform, CloudFormation; GitHub/Bitbucket, Jenkins.

Databases Platforms

Advanced SQL (Oracle, SQL Server, PostgreSQL, Redshift, Databricks SQL).
NoSQL (MongoDB, DynamoDB; desirable).
Data Warehouse, Data Lake, and Lakehouse architecture patterns.

CERTIFICATIONS

Informatica Cloud Data Integration Developer, Professional Certification (ICP) (core to the role).
Informatica IDMC Foundation / Data Engineering Foundation.
Informatica Cloud Application Integration Developer, Professional Certification (desirable).
Databricks Certified Data Engineer Associate (desirable).
Microsoft Certified: Azure Data Engineer Associate (DP-203) (complementary).
AWS Certified Data Engineer / Data Analytics Specialty (complementary).

KEY RESPONSIBILITIES

Design and implement ingestion, transformation, and distribution pipelines with CDI and Cloud Mass Ingestion.
Development of data pipelines using the following AWS cloud services: AWS Glue, S3, Step Functions, Athena to extract data.
Provide support to incidents related to data pipelines and data publishing, ensuring the quality of the services provided for data users.
Supporting infrastructure: EC2 Linux and windows machines, S3 buckets, SNS, EventBridge.
Operate and maintain integration infrastructure (Secure Agents, runtimes) on Azure and AWS under SLA standards.
Apply CLAIRE GPT/Copilot to optimize the mapping development cycle and reduce delivery time.
Monitor IPU consumption and propose cost and performance optimizations.

About NTT DATA

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in RD.

Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.

NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

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