Data Engineer intern

Job Description
Position: Data Engineer InternLocation: Remote Duration: 2-6 monthsCompany: Collegepur Type: Unpaid Internship About the Internship: We are seeking a skilled Data Engineer to join our team, with a focus on cloud data storage, ETL processes, and database/data warehouse management. If you are passionate about building robust data solutions and enabling data-driven decision-making, we want to hear from you! Key Responsibilities: 1. Design, develop, and maintain scalable data pipelines to process large datasets from multiple sources, both structured and unstructured. 2. Implement and optimize ETL (Extract, Transform, Load) processes to integrate, clean, and transform data for analytical use. 3. Manage and enhance cloud-based data storage solutions, including data lakes and data warehouses, using platforms such as AWS, Azure, or Google Cloud. 4. Ensure data security, privacy, and compliance with relevant standards and regulations. 5. Collaborate with data scientists, analysts, and software engineers to support data-driven projects and business processes. 6. Monitor and troubleshoot data pipelines to ensure efficient, real-time, and batch data processing. 7. Maintain comprehensive documentation and data mapping across multiple systems. Requirements: 1. Proven experience with cloud platforms (AWS, Azure, or Google Cloud). 2. Strong knowledge of database systems, data warehousing, and data modeling. 3. Proficiency in programming languages such as Python, Java, or Scala. 4. Experience with ETL tools and frameworks (e.g., Airflow, Informatica, Talend). 5. Familiarity with data security, compliance, and governance practices. 6. Excellent analytical, problem-solving, and communication skills. 7. Bachelor’s degree in Computer Science, Information Technology, or related field.