Description: What Cadastra expects from you: * Bachelor's degree in Computer Science, Data Engineering, Systems Engineering, or related fields; * Experience in Data Engineering with ETL \| ELT pipelines; * Knowledge of GCP (BigQuery, Cloud Storage, Dataflow, and Composer/Airflow) and Databricks (Notebooks, Delta Lake, PySpark); * Intermediate knowledge of SQL (complex queries, optimization, and modeling) and Python (Pandas, PySpark, NumPy, APIs); * Experience with connectors (APIs); PREFERRED QUALIFICATIONS * Certifications: GCP Professional Data Engineer, Databricks Data Engineer Associate/Professional; * Experience in data marketing (Google Analytics, CRM, marketing platforms, customer analytics); * Experience in consulting or managing multiple projects; * Agile methodologies (Scrum, Kanban) in squad format. In our Data Hub, you will face the challenge of: * Developing and maintaining scalable ETL/ELT pipelines on GCP (BigQuery, Dataflow, Cloud Storage, Composer/Airflow) and Databricks (Delta Lake, Bronze/Silver/Gold medalion architecture); * Working across multiple client projects, developing customized solutions; * Collaborating consultatively with client teams to understand business needs and translate them into technical solutions; * Implementing integrations with APIs from marketing platforms, CRM, e-commerce, and third-party systems for real-time and batch data ingestion; * Collaborating with multidisciplinary teams (data scientists, analysts, developers, business units) and acting as an enabler for adopting best practices; * Implementing data governance, security, and quality assurance, ensuring compliance with LGPD and cataloging/versioning practices; * Participating in agile methodologies in squad format (sprints, dailies, retrospectives), autonomously managing multiple priorities. 2512210202551876212