Data Engineering Internship

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.

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 Youll 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. Internship Details: Duration: 3 months Location: Remote (Work from Home) Perks: Completion Certificate + Letter of Recommendation .