[Bosch R&D - Internship] Data Engineering Intern
Core
Designing and implementing scalable data pipelines, frameworks, and dashboards to ingest, process, and deliver data from multiple sources to target repositories.
Role type
Data Engineering Intern
Builds
End-to-end data pipelines, reusable data ingestion frameworks, and analytical dashboards
Domain
Automotive R&D, Cloud Data Engineering
Deliverable
production ML models
Required skills
Python, PySpark, SQL, Data Pipeline Design, Data Ingestion, Dashboarding, Event Streaming, Low-code Platforms
Preferred skills
Knowledge Graphs, Azure Databricks, Hadoop ecosystem, OpenShift
Technologies
Azure Databricks, Hadoop, Power BI, Tableau, PowerApps, OutSystems, Python, PySpark
Responsibilities
Design and implement data pipelines from multiple sources; Develop scalable frameworks for data ingestion; Integrate end-to-end data pipelines ensuring quality; Work with event-based and streaming technologies; Write Python scripts for data processing; Build dashboards for end users; Evaluate performance of data pipeline tools.
