Client: Our client empowers partners to break away from the one-size-fits-all approach to payments, offering flexibility and innovation.
We pride ourselves on being creative problem solvers, helping visionaries push boundaries and explore new possibilities.
- Responsibilities: Build, maintain, and optimize data pipelines using Google Cloud Platform components like BigQuery, Dataflow, 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
- Develop, maintain, and optimize dashboards and reports using Tableau and/or Power BI
- 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 Airflow or 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
- Requirements: Expertise in Google Cloud Platform (BigQuery, Dataflow, Cloud Functions)
- Data pipeline design, maintenance, and optimization ETL process development and management
- Data warehousing on BigQuery SQL query and ETL performance optimization Dashboard and reporting (Tableau, Power BI)
- Scalable data model design (BigQuery) Data automation (Airflow, Cloud Scheduler, GCP tools)
- Data quality checks and monitoring
- Data governance and documentation practices
Nice to have: Basic knowledge of Terraform

📌 Senior Data Engineer With Gcp Skills (Monterrey)
🏢 DataArt
📍 Monterrey