Engenheiro de Dados Pleno e Sênior (SQL e PySpark)
Core
Build robust, scalable, and strategic data solutions for the business using modern cloud technologies.
Role type
Senior hands-on data engineer
Builds
Cloud-based data pipelines, ETL/ELT solutions, and optimized data architectures
Domain
Cloud data engineering and big data processing
Deliverable
production ML models | product features
Required skills
SQL (complex queries, joins, optimization), Python, PySpark, Cloud platforms (GCP, AWS, Azure), ETL/ELT, Data modeling, DBT, Relational databases (Oracle, SQL Server, MySQL)
Preferred skills
BigQuery, Dataflow, Airflow, DataOps, CI/CD, Data lakehouse architecture, DataStage
Technologies
GCP, AWS, Azure, BigQuery, Dataflow, Airflow, DBT, Oracle, SQL Server, MySQL, PySpark
Responsibilities
Develop and optimize cloud data pipelines; Build ETL/ELT solutions with Python and PySpark; Write and optimize complex SQL queries; Perform data modeling for quality and governance; Automate transformations with DBT; Integrate different systems and databases; Monitor and improve pipeline performance; Contribute to data architecture evolution and DataOps practices
Seniority
Senior, hands-on IC