Data Engineering Specialist - NaPista

Description

Job Summary: We are seeking a professional to work on the development and optimization of data processes, construction of dashboards, and data infrastructure management for a new business within the automotive ecosystem. Key Highlights: 1. Involvement in a new business within the Auto Ecosystem 2. Development and optimization of data pipelines 3. Construction of interactive dashboards and reports Aligned with our diversification strategy and to strengthen our core business, we have enhanced the Auto Ecosystem strategy with a new business. This is an unprecedented partnership aimed at delivering specialized solutions in the vehicle buying and selling universe. It will serve as an enabler that promotes autonomy and connectivity. We are referring to a proactive assistant that supports navigating, selecting, and mediating the best deals — both for dealerships and individual customers. To achieve this, we will rely on specialized teams building digital vehicle platforms, as well as collaborations with technology startups focused on delivering digital journeys, particularly in the automotive market. Work Location: NaPista Office – South Zone – SP Work Model: Hybrid (2 days per week onsite) ### **Take a look at the challenges awaiting you:** * Develop, optimize, and maintain data integration processes and pipelines; * Conduct targeted analyses and studies jointly with business areas; * Build interactive dashboards and reports for monitoring and visualizing key performance indicators; * Implement and manage data infrastructure using the Databricks platform; * Integrate, process, and store data from multiple sources. ### **So, does this resonate with you? Now we’d like to know whether you possess the following profile and knowledge:** * Experience with the Databricks platform and/or similar tools; * Knowledge of developing data integration processes and pipelines; * Proficiency in SQL and Python for script development and analysis; * Knowledge of data manipulation using MongoDB; * Ability to build and interpret managerial dashboards and reports. ### **The following would be considered advantageous:** * Experience with other BI and data visualization tools; * Knowledge of Machine Learning and AI techniques and tools. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.