Data Engineering Specialist
Listed on 2026-10-29
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IT/Tech
Data Engineering, Data Warehousing
Na Zup, we believe that the future is built by people who challenge the present. Our purpose is to create technologies that transform the market and elevate our customers' experience.
We value the continuous growth of Zuppers, encouraging each person to pursue paths that drive their professional evolution.
Through the Internal Selection Process (PSI), you can explore new technologies, projects and career opportunities, in a transparent, accessible process aligned with your objectives.
We are looking for a professional to work on building and evolving our data architecture, ensuring scalability, quality and governance in complex Data Lake, Data Warehouse and Lakehouse environments. As a Specialist, you will be a key piece in defining technical standards, optimizing processes and in strategic collaboration with multidisciplinary teams to enhance data usage in the organization.
What you will do here- Build ingestion, transformation and data integration pipelines in scalable environments.
- Develop and maintain robust architectures for Data Lake, Data Warehouse and Lakehouse.
- Ensure data quality, governance and security across all lifecycle phases.
- Implement and optimize ETL/ELT processes with focus on performance and reliability.
- Define technical standards and best practices for efficient use of data platforms.
- Work on integrating multiple data sources and destinations, promoting interoperability.
- Collaborate with multidisciplinary teams to align data solutions with the organization's strategy.
- Advanced command of SQL for manipulation and analysis of large data volumes.
- Solid experience in Python or Scala applied to data engineering.
- Proven experience with Spark in distributed processing.
- Deep knowledge in architecture and implementation of Data Lake, Data Warehouse and Lakehouse.
- Practical experience with ETL/ELT tools in cloud environments.
- Advanced experience in data modeling and governance at organizational scale.
- Knowledge and experience with cloud platforms such as Azure, AWS or Google Cloud.
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