Data Engineering Intern

About the Role

As a Data Engineering Intern, you will be involved in various aspects of data pipeline development and AI solution support. Your responsibilities will include:

• Designing and implementing data pipelines from multiple sources using Azure Databricks or Hadoop ecosystem.
• Developing scalable and re-usable frameworks for ingesting datasets.
• Integrating end-to-end data pipelines, ensuring data quality and consistency from source to target repositories.
• Working with event-based, streaming, and scheduling technologies for data ingestion and processing.
• Writing Python scripts for data processing to support other engineers.
• Building dashboards using Power BI or Tableau for end-users.
• Evaluating the performance and applicability of multiple tools for automated data pipelines.
• Participating in application development using low-code platforms such as PowerApps and OutSystems.
• Contributing to AI solution development within the organization, focusing on Python scripting for data processing.

Qualifications

We are looking for an enthusiastic undergraduate student with a strong foundation in data and programming. Ideal candidates will possess:

• Majoring in Computer Science, Data Science, Information Technology, or an equivalent field.
• Strong foundation in data structures and algorithms (DSA).
• Basic experience in designing, developing, deploying, and/or supporting data pipelines using Databricks, Azure, OpenShift, or Virtual Machines.
• Basic experience in building dashboards using Power BI or Tableau.
• Proficiency in programming languages like PySpark and Python.
• Good understanding of SQL and API concepts.
• Strong computational problem-solving skills.
• Knowledge and experience with knowledge graphs is a plus.
• Ability to work independently, proactively, with attention to detail, and a willingness to learn and apply new technologies.