The professional's focus will be integrating and ingesting new data into the Data Lake and improving existing pipelines.
Responsible for gathering client-area requirements; defining and negotiating priorities and deadlines; and managing the activities of their projects.
As a Senior, also responsible for reviewing area processes; contributing to the evolution of the frameworks we use; and providing technical support to other engineers.

Education: Bachelor's degree in Computer Science, Computer Engineering, Information Systems, Software Engineering, Data Science, or a similar field.
Advantage: Postgraduate degree in Data-related areas (Data Engineering, Big Data, Data Science, and/or AI).
Cloud experience (GCP and/or AWS).
Proficiency in Python.
Proficiency in SQL/MQL (primarily for Oracle, MongoDB, BigQuery, Athena, and Redshift).
Experience integrating data from multiple sources: Kafka; APIs; transactional databases (structured/semi-structured); files (CSV, JSON).
Experience with Airflow for workflow orchestration.
Experience using Git for version control.
Hands-on experience using AI agents to improve productivity in team activities.
Desirable: knowledge of Kubernetes; experience with dbt and data modeling.

Senior Data Engineer

Key skills