Job Summary: We are seeking a Mid-Level Data Engineer to develop and evolve data pipelines, contributing to the creation of robust, scalable, and high-performance solutions. Key Highlights: 1. Work on the development and evolution of data pipelines 2. Build robust, scalable, and high-performance solutions 3. Work with cutting-edge technologies in a collaborative and learning-oriented environment Job Description We are seeking a **Mid-Level Data Engineer** to develop and evolve data pipelines, contributing to the creation of robust, scalable, and high-performance solutions. In this role, you will play a pivotal part in transforming data into strategic assets, supporting innovation initiatives and accelerating digital transformation journeys. Join a team that helps organizations unlock the value of their data through modern and innovative solutions, working with cutting-edge technologies in a collaborative and continuously learning environment. **Together we do what matters.** **Learn more about some of our benefits:** * Meal or food allowance * Multi-Benefit Card (up to Senior Consultant) * Health and dental insurance * Certifications and training * Life insurance * Private pension plan * Avababy: Pregnancy support and welcome kit for new parents * Company profit-sharing program * Wellhub * Childcare assistance * Career mentoring * Birthday Off policy (one paid day off during your birthday month) * Wellness sessions For managerial positions: company vehicle, parking, and fuel allowance * **Responsibilities** * Develop and maintain ETL/ELT processes. * Build, evolve, and optimize data pipelines using Azure Databricks. * Develop data transformations and integrations. * Work with distributed processing using Apache Spark. * Ensure data quality, performance, and reliability. * Collaborate with cross-functional teams to deliver scalable and efficient data solutions. Qualification **Skills and Experience** **Required Knowledge** * Experience in Data Engineering with focus on ETL. * Azure Databricks. * SQL. * Python. * Apache Spark. **Preferred Qualifications** * Experience with real-time data processing using Spark Structured Streaming.
João Silva
Indeed · HR
João Silva
Indeed · HR
