We are looking for Undergraduate Data Lake Development Interns who are passionate about building data and analytics applications leveraging Azure Data Lakes and Databricks. This is an exciting opportunity to work on big data processing, cloud-based analytics, and data engineering using modern cloud technologies and Python programming. Interns will gain hands-on experience in designing, implementing, and optimizing scalable data solutions in the Azure ecosystem.
Qualifications
Currently pursuing a Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field.
Strong programming skills in Python (experience with Pandas, PySpark, or SQL is a plus).
Interest in Azure Cloud, Databricks, and data lake architecture.
Basic understanding of data structures, databases, and cloud-based storage solutions.
Ability to work with structured and unstructured datasets.
Strong analytical and problem-solving skills with attention to detail.
Passion for data engineering, analytics, and cloud computing.
Familiarity with Azure services such as Azure Data Factory, Azure SQL, and Synapse Analytics
Responsibilities
Develop and optimize data pipelines using Azure Data Lake, Databricks, and Python.
Implement ETL (Extract, Transform, Load) processes and data ingestion workflows.
Work with Azure services such as Azure Data Factory, Synapse Analytics, and Delta Lake.
Write clean, maintainable Python code to process and analyze data efficiently.
Learn and apply big data processing techniques, including Spark-based transformations.