




Job Summary: As a Data Engineer, you will work within a multidisciplinary team, contributing to the understanding of business problems and data-driven solutions, and will be responsible for developing ETL/ELT pipelines in cloud environments. Key Highlights: 1. Work in a collaborative and challenging environment 2. Develop innovative and disruptive solutions 3. Positively impact people and businesses **Who We Are:** We are a digital transformation ecosystem that combines technology and strategic vision to **scale results** and increase value delivered to our clients. We build **innovative** and **disruptive solutions** across **300+ projects with major national companies** spanning multiple industries. Our purpose is to **positively impact people and businesses**, exponentially empowering each to achieve their full potential. We respect all differences and foster an **open and inclusive environment**, giving you autonomy, space to express ideas, opportunities to learn from mistakes, connections with others, and the ability to **drive change around you**. If you seek a collaborative, challenging environment that encourages continuous growth and empowers you to be the protagonist of your own story — this is the place for you! **Before moving forward, please note:** * **Employment Type:** CLT * **Work Model:** Remote * **Working Hours:** 9:00 AM–12:00 PM and 1:00 PM–6:00 PM * **Hiring Process Stages:** Composed of 3–4 stages, with an average interval of up to 3 business days between stages. * **Communication Channels:** We use Email and WhatsApp. Please ensure these contact details are accurate during registration to avoid communication failures. **What Will Your Day-to-Day Look Like?** As a Data Engineer, you will collaborate within a multidisciplinary team to understand business challenges and design data solutions to resolve them. You will also be responsible for developing ETL/ELT pipelines in cloud environments using orchestration tools and programming languages such as Python and SQL. In addition, the data engineer role may contribute insights into various improvements applicable to data projects — including ML algorithms (in partnership with data scientists) and performance and cost optimizations. **To Succeed in This Role, You Must Have Proficiency In:** * Programming Languages (Python, PySpark); * Airflow — Environment setup and data pipeline development; * Relational, non-relational, and data warehouse databases: BigQuery, MongoDB, SQL Server, Oracle, Hive, Hadoop; * Writing ANSI SQL queries; * Cloud services on GCP, AWS, and Azure related to data engineering; * Consuming REST and SOAP APIs; * ETL and ELT; **Nice-to-Have Qualifications:** * Practical knowledge and hands-on experience with Airflow; * Practical knowledge and hands-on experience in Machine Learning and AI. **What Do We Offer Our Builders?** * Meal Allowance (VA/VR) via Caju card; * Remote Work Allowance via Caju card; * Flexible Points Program on Caju — *a flexible amount you can use however you wish;* * National Health Plan by Porto Seguro (Silver Plan with private room, no co-payment), with 50% of the monthly premium covered by Builders; * Dental Plan by Porto Seguro (Bronze Plan), with 100% of the monthly premium covered by Builders; * Childcare Assistance for children up to 72 months old; * Mental Health Support — *access to the Vida+ app;* * Physical Health Support — *access to the Gympass app;* * Life Insurance ***Curious to learn more? #LetsGo — Apply now!***


