Data Engineer Intern

About Role

We are looking for enthusiastic and motivated Data Engineer Intern who are passionate about data, analytics, and cloud technologies. This is an excellent opportunity to work with experienced engineers and build real-world data pipelines and AI-driven applications.

Key Responsibilities:

• Build, maintain, and optimize ETL/ELT data pipelines and data linkings.
• Collect, clean, transform, and validate structured and unstructured data.
• Develop Python scripts for data processing and automation.
• Write efficient SQL queries for data extraction and analysis.
• Work with relational and NoSQL databases.
• Assist in designing scalable data models and data warehouses.
• Integrate data from APIs and third-party platforms.
• Support cloud-based data processing using AWS services.
• Monitor data quality, performance, and pipeline reliability.
• Collaborate with software engineers, AI engineers, and business teams to deliver high-quality data solutions.
• Maintain documentation for data workflows and processes.

Required Skills

• Good understanding of SQL, Python, AWS and database concepts.
• Knowledge of data structures and algorithms.
• Basic understanding of ETL processes.
• Familiarity with relational databases such as PostgreSQL or MySQL.
• Basic understanding of NoSQL databases such as MongoDB.
• Understanding of APIs and JSON.
• Knowledge of Git or GitHub.
• Strong analytical and problem-solving skills.
• Excellent communication and teamwork skills.
• Willingness to learn new technologies.

Preferred Skills

• Exposure to AWS, Azure, or Google Cloud Platform.
• Familiarity with Docker.
• Basic understanding of data warehousing concepts.
• Knowledge of Power BI, Tableau, or other visualization tools.
• Experience with personal, academic, or internship projects involving data engineering.

Eligibility

• Bachelor's degree in Computer Science, Information Technology, Data Science, Artificial Intelligence, or a related field.
• 2024, 2025, or 2026 graduates are encouraged to apply.
• Internship or academic project experience in Python, SQL, or data engineering is an advantage.

What You'll Gain

• Work on real-world AI and data engineering projects.
• Hands-on experience with cloud platforms and modern data technologies.
• Mentorship from experienced engineers.
• Career growth in Data Engineering, AI, and Cloud Computing.
• Opportunity to work on scalable products used by real customers.

Why Join Snaphomz?

• AI-first product company with cutting-edge technology.
• Learning-focused and collaborative work culture.
• Exposure to cloud, big data, and AI technologies.
• Ownership of impactful projects from day one.
• Fast career growth based on performance.

Work Location: In person