Senior Data Engineer

• Build data ingestion, transformation, and integration pipelines in scalable environments.
• Develop and maintain robust architectures for Data Lakes, Data Warehouses, and Lakehouses.
• Ensure data quality, governance, and security throughout all stages of the data lifecycle.
• Implement and optimize ETL/ELT processes with a focus on performance and reliability.
• Define technical standards and best practices for the efficient use of data platforms.
• Integrate multiple data sources and destinations, promoting interoperability.
• Collaborate with cross-functional teams to align data solutions with the organization’s strategy.

• Advanced proficiency in SQL for manipulating and analyzing large volumes of data.
• Solid experience with Python or Scala applied to data engineering.
• Proven experience with Spark for distributed processing.
• Deep knowledge of Data Lake, Data Warehouse, and Lakehouse architecture and implementation.
• Hands-on experience with ETL/ELT tools in cloud environments.
• Advanced experience in data modeling and governance at organizational scale.
• Knowledge of and hands-on experience with cloud platforms such as Azure, AWS, or Google Cloud.

• Freedom to work from anywhere
• Flexible working hours
• Education assistance
• Proprietary career development platform
• Internal guilds and study and interest groups
• Health insurance
• Dental insurance
• 24/7 telemedicine
• Free online therapy
• Wellhub
• Extended maternity leave
• Extended paternity leave
• CAZ – Zuppers’ Support Center
• Meal and food allowance
• Life insurance
• Transportation allowance
• Home office allowance
• Childcare assistance
• Mobile phone plan allowance
• Profit-sharing and results-based bonus