Internship – Data Engineering

Job Description

Duration: 3–4 Months
Location: Bengaluru / Remote
Mode: Full-Time Internship

About the Role

This internship is designed for candidates who want to work with real-world datasets, build ETL pipelines, and support data-driven product features. You’ll gain hands-on experience with modern data engineering workflows, including ingestion, transformation, storage, and analytics.

Key Responsibilities

• Build and maintain ETL pipelines for structured and unstructured data.
• Work with databases such as PostgreSQL, MongoDB, or Elasticsearch.
• Assist in developing APIs to expose processed data to applications.
• Collaborate with product and engineering teams to understand data requirements.
• Ensure data quality, validation, and error handling across pipelines.

Required Skills

• Proficiency in Python or SQL.
• Understanding of database concepts (schema, indexing, normalization).
• Familiarity with ETL concepts and data modeling.
• Basics of Linux and Git.

Nice to Have (Bonus)

• Exposure to tools like Apache Airflow, Kafka, Spark, or Pandas.
• Experience with cloud platforms (AWS, GCP, or Azure).
• Interest in data security, governance, or analytics.

Who Should Apply

• Students or early-career engineers interested in large-scale data systems.
• Candidates who like solving data problems—not just running ML models.
• Individuals eager to learn end-to-end data workflows.

What You’ll Gain

• Practical experience building production-ready data pipelines.
• Exposure to industry tools and distributed systems.
• Mentorship, code reviews, and structured training.
• Internship certificate on completion.