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Data Engineer GCP JR/PL/SR

Indeed
Full-time
Onsite
No experience limit
No degree limit
Av. Paulista, 1374 - Bela Vista, São Paulo - SP, 01310-100, Brazil
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Description

Job Summary: We are seeking a talented and passionate individual to design and implement efficient and scalable data pipelines, ensuring data quality and governance throughout the data lifecycle. Key Highlights: 1. Design and implement efficient and scalable data pipelines 2. Collaborate with business areas to translate requirements into data models 3. Ensure data quality, governance, security, and compliance ***Keyrus believes in diversity and inclusion. We encourage everyone to participate in our hiring process, regardless of gender, age, race, or religion. We do not tolerate any form of discrimination. This principle is reinforced throughout our hiring process and lived daily within the company.*** We know that great results are achieved only with a great team; therefore, we seek talented and passionate individuals who desire professional growth and wish to build a career path with us. **Roles and Responsibilities:** * Design and implement efficient and scalable data pipelines suitable for various business scenarios (Data Lake, Data Warehouse, Data Mart). * Create and maintain data ingestion and transformation pipelines in GCP environments (BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage). * Define relational and dimensional modeling standards (star schema, snowflake, Data Vault, etc.), with emphasis on performance and usability. * Collaborate with business areas to translate requirements into clear and consistent data models. * Ensure data quality, governance, security, and compliance across the entire data lifecycle. * Monitor and optimize cloud costs and performance. **Essential Qualifications:** * Advanced experience in data modeling (conceptual, logical, and physical), especially in analytical environments. * In-depth knowledge of SQL and best practices for Data Warehouse/BigQuery design. * Experience with programming languages such as Python and Spark for data processing. * Proficiency in the GCP ecosystem (BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage, Composer). * Experience with CI/CD practices, version control, and pipeline automation. * Knowledge of modern data architectures (data mesh, lakehouse, streaming). Our mission is to help companies unlock the full potential of Data and Digital to enhance performance, support transformation, and generate new levers for growth and competitiveness. Join the Keyrus Team! If you’d like to learn more about us, we invite you to visit our website: http://www.keyrus.com/br/ ***Good luck!***

Source:  indeed View original post
João Silva
Indeed · HR

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