[Bosch R&D Internship] Data Engineering Intern

• Designing and implementing data pipelines from multiple sources using Azure Databricks or Hadoop ecosystem.
• Developing scalable and re-usable frameworks for ingesting of data sets.
• Integrating end to end data pipeline - to take data from source systems to target data repositories ensuring quality and consistency of data is maintained at all times.
• Working with event based / streaming / scheduling technologies to ingest and process data.
• Write python script to process data according to the needs from other engineers.
• Build dashboard using Power BI or Tableau to fulfill the need from end users.
• Evaluating the performance and applicability of multiple tools for the automated data pipeline.
• Involve in application development using low-code platforms such as PowerApps and OutSystems.
• Involve in AI solution development in the organization focus on building python script for data processing.

Qualifications :

• Undergraduate student majoring in Computer Science Data Science Information Technology or any equivalent field with strong foundation in data structure and algorithms.
• Basic experience in designing developing deploying and/or supporting data pipelines using Databricks Azure OpenShift Virtual Machine.
• Basic experience in building dashboard using Power BI Tableau.
• Proficient in programming languages like PySpark and Python.
• Good understanding of SQL and API.
• Good at computational problem solving.
• Knowledge and experience with knowledge graph is a plus.
• Ability to work independently proactive detail-oriented with willingness to learn and apply new technologies.

Additional Information :

• A learning-driven professional inclusive multinational work environment fosters personal growth and expands professional networks.
• An attractive monthly allowance.
• Hands-on experience in an advanced engineering simulation and product development field.
• Opportunity to apply technical knowledge skills in a real work.
• Collaboration with experienced engineers and professionals.

Remote Work :

No

Employment Type :

Full-time