Praktikum Digital Marketing & Onsite Projektmanagement
Core
Building scalable data solutions, pipelines, and infrastructure for internal and external projects using modern technologies.
Role type
Data Engineer
Builds
Scalable data pipelines, storage solutions, and data infrastructures
Domain
Technology / Data Engineering
Deliverable
production ML models
Required skills
Python, SQL, Azure Data Factory, Azure Synapse, Azure Storage, Apache Airflow, Docker, Pulumi, ETL/ELT, Data Modeling
Preferred skills
Experience with distributed data processing systems, CI/CD methodologies
Technologies
Azure, Databricks, Docker, Pulumi, Airflow
Responsibilities
Design and implement robust data pipelines (ETL/ELT), develop storage solutions (SQL/NoSQL, Data Lakes), integrate data from diverse sources, operate scalable data infrastructures, collaborate with Data Scientists and ML Engineers to productionize prototypes, manage Azure Management Group costs and optimization
Seniority
Mid-level (3+ years experience)