Data Engineering Intern

- Collaborate with the Data Engineering team to contribute to the development and maintenance of robust data pipelines.

- Work closely with experienced team members to understand data requirements and assist in designing and implementing efficient data processing solutions.

- Participate in troubleshooting, debugging, and optimizing existing data pipelines.

- Conduct data quality and integrity checks to ensure the accuracy and reliability of datasets.

- Collaborate with cross-functional teams to understand business needs and provide data support.

- Take an active role in building and maintaining dashboards on Superset for visualizing key performance indicators and data trends.

Requirements:

- Pursuing a degree in Computer Science, Data Science, or a related field.

- Proficiency in SQL and Python.

- Strong analytical and problem-solving skills.

- Familiarity with database systems and query optimization.

- Eagerness to learn and adapt to new technologies.

- Strong communication and teamwork skills.

Bonus Points:

- Previous internship or coursework related to data engineering.

- Knowledge of big data technologies

- Experience with cloud platforms such as AWS, GCP, or Azure.

What's in it for you:

- Hands-on experience with real-world data engineering projects.

- Mentorship from seasoned professionals in the field.

- Opportunity for a full-time position based on exceptional performance.