[Bosch R&D - Internship] Data Engineering Intern
Core
Designing and implementing scalable data pipelines from multiple sources to ingest, process, and deliver data to target repositories while maintaining quality and consistency.
Role type
Data Engineering Intern
Builds
End-to-end data pipelines, reusable data ingestion frameworks, and dashboards for end users.
Domain
Automotive R&D, Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, PySpark, SQL, Data Structures and Algorithms, API integration, Computational problem solving
Preferred skills
Knowledge graph, Low-code platforms (PowerApps, OutSystems), Event-based/streaming technologies
Technologies
Azure Databricks, Hadoop, OpenShift, Virtual Machine, Power BI, Tableau
Responsibilities
Design and implement data pipelines from multiple sources; Develop scalable and re-usable frameworks for data ingestion; Integrate end-to-end data pipelines ensuring data quality; Write Python scripts for data processing; Build dashboards using Power BI or Tableau; Evaluate performance of tools for automated data pipelines.
Seniority
Intern
