Data Engineer Intern

Job Description

We are looking for a Data Engineer Intern with expertise on in Python, Redshift, Kafka, and MySQL to join our data team. This role offers a great opportunity to work on large-scale data pipelines, optimize database performance, and contribute to real-time data streaming solutions. Responsibilities: Design, develop, and maintain data pipelines using Python and ETL frameworks. Preferred with Amazon Redshift to build and optimize data warehouses. Implement real-time data streaming solutions using Kafka . Write efficient queries and manage relational databases in MySQL . Collaborate with data scientists and analysts to ensure data availability and integrity. Monitor and improve system performance, scalability, and reliability. Assist in data migration, transformation, and automation processes. Required Qualifications: Preferred experience with Python for data processing and automation. Preferred with Amazon Redshift , including schema design and query optimization. Understanding of Kafka for event-driven data processing. Proficiency in MySQL , including writing complex queries and performance tuning. Strong analytical and problem-solving skills. Familiarity with cloud platforms (AWS, GCP, or Azure) is a plus. Excellent communication and teamwork abilities. Benefits: Hands-on experience with cutting-edge data technologies. Mentorship and learning opportunities from experienced data engineers. Potential for a full-time offer based on performance. Flexible work environment (remote/hybrid options).