We are looking for a Data Engineer with strong experience in Google Cloud Platform to support data pipeline development, data warehousing, and reporting needs. In this role, you will work with BigQuery, DBT, Cloud Functions, and related GCP services to build scalable and maintainable data solutions.
The project is focused on delivering seamless payment experiences across commerce scenarios. The work includes building and improving data pipelines, warehousing, and reporting foundations that support business insights and operational reliability.
Build, maintain, and optimize data pipelines using Google Cloud Platform components like BigQuery, DBT, and Cloud Functions
Ensure efficient and reliable data flow from various sources into data warehouses and downstream systems
Design and implement data warehousing solutions on BigQuery
Develop and manage ETL processes to ingest, transform, and store data efficiently
Collaborate with business stakeholders to understand reporting needs and translate them into actionable insights
Design and implement scalable and efficient data models in BigQuery
Optimize SQL queries and ETL processes for performance and cost efficiency
Automate data processing tasks using Cloud scheduler or any orchestration compatible with GCP and other GCP automation tools
Ensure that data pipelines and BI processes are robust, scalable, and maintainable
Implement data quality checks and monitoring to ensure data accuracy and consistency
Contribute to data governance practices, including data cataloging and documentation
Experience with Google Cloud Platform, including BigQuery, DBT, and Cloud Functions
Data pipeline design, maintenance, and optimization ETL process development and management
Experience in ETL process development and management
Experience with data warehousing on BigQuery
Experience in SQL query optimization
Experience in scalable data model design in BigQuery
Experience with data automation using Cloud Scheduler and GCP tools
Experience with data quality checks and monitoring
Experience with data governance and documentation practices
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📌 Data Engineer with GCP (Ejido de la Finca)
🏢 DataArt
📍 Ejido de la Finca
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