Senior Data Engineer with Gcp Skills

hace 3 días

Monterrey, México DataArt A tiempo completo

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 practicesNice to have: Basic knowledge of Terraform

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