Data Engineer Internship

Job Description

Roles:

• Work closely with the backend and analytics teams to design, build, and maintain efficient data pipelines.
• Collect, clean, and process large datasets from multiple sources.
• Assist in designing ETL (Extract, Transform, Load) processes for structured and unstructured data.
• Implement and optimize database schemas for scalability and performance.
• Collaborate with data scientists and developers to support analytics and ML workloads.
• Ensure data integrity, security, and accessibility across systems.

Responsibilities:

• Build and manage data workflows using open-source technologies (e.g., Airflow, Apache Spark, dbt).
• Develop and optimize SQL queries for data extraction and transformation.
• Support the integration of APIs and external data sources into the central data warehouse.
• Create automated scripts for data validation, monitoring, and error handling.
• Participate in code reviews, documentation, and testing of data systems.
• Troubleshoot and resolve performance or data quality issues in production pipelines.

Requirements:

• Pursuing a degree in Computer Science, Information Technology, or a related field.
• Strong understanding of SQL and relational databases (PostgreSQL preferred).
• Familiarity with Python for data processing (Pandas, NumPy).
• Basic knowledge of ETL concepts, data warehousing, and APIs.
• Experience with Linux, Git, and command-line tools.
• Knowledge of cloud platforms (AWS, GCP, or Azure) is a plus.
• Strong problem-solving mindset with attention to detail and scalability.