Data Engineering Internship

Your tasks

• Assist in designing and building data pipelines for structured and unstructured data.
• Support ETL (Extract, Transform, Load) processes to prepare data for analytics.
• Work with databases (SQL/NoSQL) for data storage and retrieval.
• Help optimize data workflows for performance and scalability.
• Collaborate with data scientists and analysts to ensure data quality and consistency.
• Document workflows, schemas, and technical processes.

Requirements

• Strong interest in data engineering, databases, and big data systems.
• Basic knowledge of SQL and relational database concepts.
• Familiarity with Python, Java, or Scala for data processing.
• Understanding of ETL concepts and data pipelines.
• Exposure to cloud platforms (AWS, Azure, or GCP) is a plus.
• Familiarity with big data frameworks (Hadoop, Spark, Kafka) is an advantage.
• Good problem-solving skills and ability to work independently in a remote setup.

What we offer

What You’ll Gain

• Hands-on experience in data engineering and ETL pipelines.
• Exposure to real-world data workflows.
• Mentorship and guidance from experienced engineers.
• Completion Certificate upon successful completion.
• Letter of Recommendation based on performance.