Data Engineering Intern
Horrazon
This job at a glance
- Who can apply
- Freshers and up to 1 year · Bachelor's degree or Master's degree
- Must know
- REST APIsTroubleshootingPythonSQLData structures & algorithmsGit
- Nice to have
- Machine learningETLPostgreSQLMySQL
- Work
- On-site in India · internship
- Pay
- Not stated by the employer.
- Skill demand
- SQL66%Python51%REST APIs2%Troubleshooting1%of 103 similar fresher jobs posted in India this week
- Listed
- 10 Nov 2026 · still open
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About Horrazon AI
Horrazon AI is building an AI-powered Automation OS that transforms business data into actionable intelligence and automated decisions. Our platform brings together data intelligence, predictive analytics, AI agents, and intelligent automation to help businesses move beyond fragmented tools and make smarter, data-driven decisions.
About the Role
We are looking for a motivated and detail-oriented Data Engineering Intern to join our Engineering & AI/ML team. You will contribute to building and improving the data foundations behind our intelligent systems. You will work with databases, data pipelines, APIs, integrations, and real-world datasets while collaborating with backend and AI/ML engineers.
What You Will Work On
- Database Engineering: Design, maintain, and optimize database schemas, tables, relationships, indexes, and data models.
- Data Pipelines: Develop and support ETL/ELT workflows for collecting, processing, transforming, and integrating data.
- API & Data Integration: Work with REST APIs, JSON, CSV, and databases to build reliable data integration workflows.
- AI/ML Data Preparation: Clean, preprocess, validate, and structure datasets for machine learning and AI applications.
- Data Quality: Identify missing, duplicate, inconsistent, or anomalous data and improve data reliability.
- Engineering Collaboration: Work with backend and AI/ML engineers, troubleshoot issues, document workflows, and contribute to technical improvements.
Skills We Are Looking For
- Good understanding of Python and SQL.
- Familiarity with relational databases and database fundamentals.
- Understanding of data structures, data processing, and ETL concepts.
- Basic knowledge of REST APIs, JSON, and CSV.
- Familiarity with Git and GitHub.
- Strong analytical thinking and problem-solving abilities.
Good to Have
- Experience with PostgreSQL, MySQL, Pandas, or NumPy.
- Exposure to AWS or other cloud platforms.
- Familiarity with Apache Airflow, Kafka, Docker, or data orchestration tools.
- Academic or personal projects involving databases, data pipelines, or AI/ML.
Who Can Apply?
- Candidates pursuing or having completed a Bachelor's or Master's degree in Computer Science, Information Technology, AI/ML, Data Science, or a related technical discipline.
- Candidates with a strong interest in data engineering and AI-driven systems.
- Individuals who enjoy learning, experimenting, researching, and solving practical engineering problems. Relevant projects, technical skills, and practical knowledge will be valued.
What You Will Gain
- Hands-on experience with real-world data engineering challenges.
- Exposure to AI/ML systems and modern data infrastructure.
- Opportunities to work with practical engineering tools, technologies, and workflows.
- Collaboration with an engineering team building an AI-powered product.
- Meaningful technical contributions and opportunities to strengthen your engineering portfolio.
Internship Details
- Duration: 3–6 Months
- Work Mode: Remote