45F1: Senior Data Engineer

Description

Data Engineer \- Senior **Fluent/advanced English – mandatory.** Remote We are looking for a **Data Engineering** professional with solid experience in **Google Cloud Platform (GCP)** to join a global team and work on the development, maintenance, and optimization of scalable data solutions. This professional will play an important role in building modern data platforms, enabling Analytics initiatives and ensuring data quality and governance in corporate environments. ### **Main Responsibilities** * Design, develop, and maintain scalable data pipelines and data integration processes; * Build and optimize data solutions using GCP services; * Develop, manage, and improve data models and large volumes of data; * Ensure standards for data quality, consistency, security, and governance; * Work in collaboration with multidisciplinary teams, including Data Analysts, Architects, and business stakeholders; * Support Analytics and Reporting initiatives by providing reliable and high-quality data; * Identify issues and optimize data flows, seeking performance and efficiency improvements. ### **Requirements** * Strong **hands\-on experience with Google Cloud Platform (GCP)**; * Experience with: + **BigQuery** + **Dataflow** + **Looker** * Proficiency in **SQL** and data modeling; * Experience in building and maintaining end\-to\-end data pipelines; * Knowledge of **ETL/ELT** processes and data integration best practices; * Knowledge of data governance and data quality and corporate data platforms; * Experience working in **Agile** environments; * Good communication skills and ability to work in collaboration with global teams; * **Fluent/advanced English – mandatory.** ### **Differentiators** * Experience with **Python** or other programming languages applied to Data Engineering; * Experience with Cloud data architectures and modern Analytics platforms; * Knowledge of **Databricks, Spark** or technologies related to Big Data; * **GCP** certifications. ### **Profile we are looking for** * Proactive professional oriented towards problem-solving; * Autonomy to work in a dynamic and fast-paced environment; * Strong analytical and problem-solving skills; * Interest in data, innovation, and continuous improvement.