Onsite Data Ingestion Engineer — Cloud & ETL Lead (CDMX)

Jobbydoo; Aguascalientes; Presencial; MXN 500.000 - 900.000; Jornada completa

Descripción de la vacante

Capgemini Mexico is seeking a Data Ingestion Engineer to join a top banking client and support enterprise data warehouse platforms. The role covers ETL, data ingestion, incident management, and production support on-site in CDMX.

You will work with Python, Pyspark, and cloud services (GCP/AWS/Azure) to ensure stability, security, and scalable data pipelines while collaborating with stakeholders and engineering teams.

Formación

• Bachelor Degree in Computer Science or equivalent
• 5+ years of experience
• Experience in ETL and Data Ingestion processes
• Experience in Python, Pyspark
• Experience in Databases DataStage, DB2, BigQuery, Dataproc
• Experience in Cloud Composer (GCP)
• Experience in Data Warehouse Operations, Incident Management, Production Support, Root Cause Analysis, Stakeholder Management
• Conversational English

Responsabilidades

• Lead operational support for ETL and Data Warehouse environments.
• Drive incident resolution, root cause analysis, and preventative actions.
• Ensure platform stability, performance, scalability, and security.
• Review solution designs and support implementation activities.
• Collaborate with business and technical stakeholders.
• Coach engineering teams and establish operational best practices.
• Support cloud modernization initiatives across GCP, AWS, and Azure.
• Ensure compliance with enterprise governance, data controls, and change management processes.

Conocimientos

Python

Pyspark

ETL

Data Ingestion

Data Warehouse

Incident Management

Stakeholder Management

Cloud Platforms

English Proficiency

Educación

Bachelor Degree in Computer Science or equivalent

Herramientas

DataStage

DB2

BigQuery

Dataproc

GCP Cloud Composer

Descripción del empleo

Capgemini Mexico is seeking a Data Ingestion Engineer to join a top banking client and support enterprise data warehouse platforms. The role covers ETL, data ingestion, incident management, and production support on-site in CDMX.

You will work with Python, Pyspark, and cloud services (GCP/AWS/Azure) to ensure stability, security, and scalable data pipelines while collaborating with stakeholders and engineering teams.