Roles and Responsibilities:

• Assist in the design, development, and maintenance of scalable data pipelines.
• Extract, transform, and load (ETL) data from various sources into data warehouses or data lakes.
• Write and optimize SQL queries for data extraction and analysis.
• Collaborate with senior engineers and data scientists to understand data requirements.
• Help in data cleaning, validation, and ensuring data quality and integrity.
• Develop scripts and tools to automate data-related tasks.
• Participate in code reviews and contribute to improving data engineering practices.
• Document data processes, pipelines, and schemas.
• Monitor data pipeline performance and troubleshoot issues as they arise.
• Gain hands-on experience with cloud-based data platforms and big data technologies.

Requirements:

• Currently pursuing a Bachelor's or Master's degree in Computer Science, Engineering, Statistics, or a related quantitative field.
• Strong academic record and a passion for data engineering.
• Basic understanding of database concepts and SQL.
• Familiarity with at least one programming language (e.g., Python, Java, Scala).
• Eagerness to learn and adapt to new technologies.
• Excellent problem-solving skills and attention to detail.

Skills and Qualifications:

• A foundational understanding of data engineering principles and practices is essential for success in this role.
• Familiarity with programming languages commonly used in data engineering, such as Python, is highly desirable.
• A strong desire to learn and apply knowledge of database systems and SQL for data manipulation and querying.