Develop and maintain data pipelines for integration between internal and external systems.
Design ETL/ELT processes to consolidate corporate data.
Model analytical databases, Data Warehouses and Data Lakes.
Ensure data quality, consistency and availability.
Implement monitoring and alerts for failures in data processes.
Automate routines for data collection, transformation and loading.
Build integrations via APIs, databases and files.
Support BI, Analytics, CRM, Marketing, Sales, Supply and other data-consuming teams.
Work closely with data analysts and developers to build analytical solutions.
Define technical standards for data storage and processing.
Produce technical documentation for developed flows and processes.
Apply best practices for security, governance and LGPD (Brazilian Data Protection Law).
Propose performance improvements, cost reductions and increased reliability of data environments.
Participate in defining the company's data architecture.
Perform troubleshooting and resolve issues related to data environments.

Data Engineer, Mid-level

Key skills