···
Log in / Register

Senior Data Engineer

Indeed
Full-time
Onsite
No experience limit
No degree limit
Praça do Patriarca, 62 - Historic Center of São Paulo, São Paulo - SP, 01002-010, Brazil
Favourites
Share
Some content was automatically translatedView Original

Description

Job Summary: Keyrus is seeking a Senior Data Engineer focused on large-scale data environments, passionate about architecture, performance, and modern cloud solutions, to develop distributed pipelines and collaborate within multidisciplinary teams. Key Highlights: 1. Work in productive and high-volume environments 2. Develop distributed pipelines with Databricks and Apache Spark 3. Work with cloud-based data services (AWS, Azure, or GCP) ***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 actively practiced within the company.*** We know outstanding results are achieved only with an outstanding team; therefore, we seek talented and passionate individuals eager to grow professionally and build a career with us. We are looking for a **Senior Data Engineer** specialized in large-scale data environments. If you are passionate about data architecture, performance, and modern cloud solutions, this role is for you! **Roles and Responsibilities:** * Serve as a Data Engineer in productive and high-volume environments. * Develop distributed pipelines using **Databricks** and **Apache Spark**. * Work with cloud-based data services (AWS, Azure, or GCP). * Ensure best practices in versioning, testing, monitoring, and documentation. * Collaborate with multidisciplinary teams, maintaining clear communication and technical autonomy. **Essential Qualifications:** * Solid experience in data engineering and large-scale environments. * Proficiency in **Python** and **SQL**. * Hands-on experience with cloud data services: storage, processing, catalogs, messaging, etc. * Familiarity with orchestrators such as **Airflow**, **DBT**, **Step Functions**, or **Databricks Workflows**. **Preferred Qualifications:** * Experience with **CI/CD** applied to data pipelines. * Knowledge of modeling for data lakes, lakehouses, and data warehouses (DWH). * Experience with data governance, quality, lineage, and observability. Our mission is to help companies unlock the full potential of Data and Digital to enhance performance, drive transformation, and generate new growth levers 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

Company

Indeed
Cookie
Cookie Settings
Our Apps
Download
Download on the
APP Store
Download
Get it on
Google Play
© 2025 Servanan International Pte. Ltd.