Title :Technical-Architect – LATAM

Location : Mexico

We are seeking a skilled GCP Data Engineer to design develop and maintain scalable data pipelines and cloud native data solutions on Google Cloud Platform GCP The idóneo candidate should have hands on experience in data engineering ETLELT development data warehousing cloud migration and analytics solutions using GCP services such as BigQuery Dataflow Dataproc Cloud Composer PubSub and Cloud Storage

Key Responsibilities

• Design and develop scalable ETLELT pipelines on GCP

• Build and optimize data solutions using BigQuery Cloud Storage Dataflow and Dataproc

• Develop and maintain orchestration workflows using Cloud Composer Airflow and Workflows

• Design data ingestion frameworks for batch and streaming data using PubSub Kafka and cloudnative services





• Implement data quality validation monitoring and auditing mechanisms

• Optimize SQL queries BigQuery performance partitioning and clustering strategies

• Collaborate with business stakeholders’ architects analysts and reporting teams to understand requirements and deliver data solutions

• Implement CICD pipelines and deployment automation using Gitbased repositories

• Ensure data security governance and compliance by applying data masking access controls and privacy policies

• Support cloud migration and modernization initiatives from on premises or other cloud platforms to GCP

📌 Technical Architect (México)
🏢 GeorgiaTEK Systems
📍 México