Data Engineer

Description

Job Summary: We are looking for a Data Engineer to build solutions that drive the business within an autonomous, performance-focused team. Key Highlights: 1. Autonomy to propose technologies and architectures 2. Focus on building solutions that drive the business 3. Data as the central element of the company's strategy Do you live and breathe data, performance, and sound architectures? This Data Engineer position is for those who want to go beyond basic ETL and build solutions that truly drive the business. You will join a growing data team with autonomy to propose technologies, architectures, and best practices. Here, data is central to the strategy—not just support. * Design and implement scalable and reliable data pipelines. * Model data for analytics, BI, and data products. * Build and maintain cloud-based data lakes and data warehouses. * Ensure data quality, governance, and security. * Optimize query and ingestion process performance. * Collaborate with Analytics, Product, and Engineering teams. * Document solutions and disseminate data engineering best practices. Hybrid work model \- South Zone/SP Requirements: **Mandatory Requirements:** * Solid experience as a Data Engineer. * Advanced SQL proficiency and fluency in one programming language (Python or Scala). * Hands-on experience with data pipelines (ETL/ELT) and orchestration. * Experience with cloud services (AWS, GCP, or Azure). * Knowledge of data lakes, data warehouses, and dimensional modeling. * Best practices in version control, testing, and CI/CD for data. * English proficiency for technical reading and interaction with documentation/teams. **Nice-to-Have:** * Experience with tools such as Spark, Kafka, Airflow, or dbt. * Prior work in real-time/streaming data environments. * Knowledge of data governance and catalogs (Data Catalog). * Experience working in hybrid teams and product-oriented cultures.