Design, develop, and maintain data loads between diverse sources and destinations, understanding business needs and building simple, scalable data architectures
Job Summary
Design, develop, and maintain data loads between diverse sources and destinations, understanding business needs and building simple, scalable data architectures.
Support data analysts in obtaining necessary data for their analyses, document and catalog loaded data, and pay attention to data volume and load times.
Santander Investimentos offers a hybrid work model with 2 days of remote work and 3 days in the office, along with extensive benefits including flexible vacation, birthday day-off, and extended parental leave.
Matching Summary
Design, develop, and maintain data loads between diverse sources and destinations, understanding business needs and building simple, scalable data architectures.
Skills & Requirements
Must-have
SQL and Python experience
DataFactory, DataBricks, Airflow
ETL experience
Deploy and maintain Dags
Structure concepts and problems
Communicate ideas and presentations
Nice-to-have
Big Query, Delta Lake, CloudStorage familiarity
CI/CD, IaC, container knowledge
Azure DevOps / Git experience
Agility, technology, Zero Brokerage DNA
Collaborative, diverse, innovative spirit
Key Requirements
Experience with SQL and Python
Experience with DataFactory, DataBricks, Athena, Airflow, PySpark
Experience with extraction, transformation, and load