GCP Data Architect: Scalable Cloud Pipelines & Analytics

GeorgiaTEK Systems Inc.; México; Presencial; MXN 900.000 - 1.300.000; Jornada completa

Descripción de la vacante

GeorgiaTEK Systems Inc. is seeking a Technical Architect – GCP Data Engineer to design, develop, and maintain scalable data pipelines and cloud-native data solutions on Google Cloud Platform.

The role emphasizes ETL/ELT development, data warehousing, and cloud migration with GCP services like BigQuery, Dataflow, Dataproc, Cloud Composer, Pub/Sub, and Cloud Storage. Responsibilities include designing ETL/ELT pipelines, optimizing BigQuery performance, and building data orchestration workflows

Formación

• Experience designing scalable data pipelines on cloud platforms.
• Hands-on data engineering with ETL/ELT development and data warehousing.
• Knowledge of cloud migration and analytics solutions on GCP.

Responsabilidades

• Design scalable ETL/ELT data pipelines on GCP.
• Build and optimize data solutions using BigQuery, Cloud Storage, Dataflow, Dataproc.
• Develop data orchestration workflows with Cloud Composer (Airflow) and Workflows.

Conocimientos

GCP data engineering

Data integration

ETL/ELT design

BigQuery

Dataflow

Dataproc

Cloud Composer

Pub/Sub

Kafka

Airflow

CI/CD

data security

Herramientas

GCP

BigQuery

Kafka

Descripción del empleo

GeorgiaTEK Systems Inc. is seeking a Technical Architect – GCP Data Engineer to design, develop, and maintain scalable data pipelines and cloud-native data solutions on Google Cloud Platform.

The role emphasizes ETL/ELT development, data warehousing, and cloud migration with GCP services like BigQuery, Dataflow, Dataproc, Cloud Composer, Pub/Sub, and Cloud Storage. Responsibilities include designing ETL/ELT pipelines, optimizing BigQuery performance, and building data orchestration workflows