Senior Data Engineer

Come be Nava 🚀

We are looking for a Senior Data Engineer to work on the development and evolution of data engineering solutions in a cloud environment.

The successful candidate will be responsible for designing, developing, and optimizing data pipelines, ensuring scalability, performance, and data quality. Additionally, you will participate in architecture decisions, provide technical support to the team, and contribute to the evolution of our analytical platforms.

📍 Work Model: Hybrid

📍 Location: Santo Amaro – São Paulo/SP

📍 On-site: 3x per week

Responsibilities:

• Design, develop, and maintain scalable data pipelines using Python;
• Work on data engineering and processing projects with Databricks;
• Develop solutions in the Microsoft Azure environment, ensuring availability, performance, and security;
• Define and implement best practices for development, version control, and code review using Git;
• Participate in defining data architecture and evolving analytical platforms;
• Optimize data ingestion, transformation, and delivery processes;
• Utilize Artificial Intelligence tools for automation, increased productivity, and process optimization;
• Collaborate with multidisciplinary teams using agile methodologies;
• Provide technical support to less experienced professionals, disseminating best practices and contributing to the team's growth.

Requirements:

• Solid experience as a Senior Data Engineer;
• Proficiency in Python for developing applications and data pipelines;
• Advanced experience with Databricks;
• Experience in the Microsoft Azure environment;
• Knowledge of Spark/PySpark;
• Experience with code versioning using Git;
• Solid knowledge of data modeling, ETL/ELT processes, and data architecture;
• Experience with relational and non-relational databases;
• Experience with agile methodologies (Scrum/Kanban);
• Knowledge of best practices for data quality, performance, and security;
• Experience using Artificial Intelligence tools applied to automation and productivity.

Differentials:

• Experience with Azure Data Factory (ADF), Azure Data Lake Storage (ADLS), Azure Synapse Analytics, and Azure DevOps;
• Knowledge of CI/CD and DataOps;
• Experience with Lakehouse architecture;
• Microsoft Azure and/or Databricks certifications;
• Knowledge of observability and monitoring tools for data pipelines.

Behavioral Competencies:

• Analytical profile and problem-solving orientation;
• Strong communication skills and ease working with multidisciplinary teams;
• Proactivity and ownership mindset;
• Organization and attention to delivery quality;
• Ability to share knowledge and support team development;
• Adaptability and interest in innovation and new technologies.

Want to be part of it?

Submit your resume and join the Nava team! 🚀

https://entrevista.starmindai.ai

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