ਇੰਟਰਨਸ਼ਿਪ ਬਾਰੇ

About the Internship

This remote internship is designed for students and recent graduates who want practical exposure to big data, data engineering, and large-scale data processing. You will work with sizable datasets, distributed computing ideas, and modern data infrastructure used to handle high-volume information.

The role provides hands-on experience with real projects in a fully work-from-home setup, helping you build familiarity with industry tools, workflows, and collaboration practices in data engineering.

Key Responsibilities

Support the handling, processing, and organization of large datasets.
Assist with data ingestion, transformation, and validation tasks.
Work across both structured and unstructured data sources.
Help design and improve data processing workflows.
Write SQL queries to retrieve and analyze data.
Contribute to the creation, upkeep, and tracking of data pipelines.
Run data quality checks and compile validation reports.
Coordinate with technical teams to understand requirements and implement solutions.
Maintain clear documentation for processes, technical observations, and project progress.
Take part in technical discussions, code reviews, and training activities.

What You Need

Strong interest in big data, data engineering, distributed systems, and data infrastructure.
Working knowledge of Python, Java, SQL, and big data fundamentals.
Understanding of core data processing concepts and ETL-style workflows.
Good analytical thinking and problem-solving ability.
Willingness to learn, collaborate, and contribute to large-scale data engineering work.
Familiarity with tools and platforms such as Hadoop, Apache Spark, Hive, Kafka, Airflow, or cloud-based data systems will be considered an advantage.
Suitable for final-year students or recent graduates from technical or related disciplines.

What You’ll Learn

Big data architecture and ecosystem fundamentals.
Concepts behind large-scale and distributed data processing.
Data storage and data management techniques.
Hadoop ecosystem workflows and tools.
Basics of Apache Spark.
How to process data using Python and Java.
SQL techniques for larger-scale analysis.
Data pipelines, ETL processes, validation, and governance.
Fundamentals of cloud-based data infrastructure.
Best practices for professional documentation and team collaboration.

Eligibility

This opportunity is open to candidates who can work from home, are available to begin between 1 July 2026 and 5 August 2026, and can commit for 6 months. Applicants should be students in their final year or recent graduates, preferably from Computer Science or related fields, and should have relevant skills, interests, projects, certifications, coursework, or research in big data, data engineering, cloud computing, or software development.

Perks and Additional Details

Certificate on completion.
Letter of recommendation.
5-day work week.
Work mode: remote.
Stipend: INR 50,000 to 65,000 per month.
Application deadline: 1 August 2026, 11:59 PM.

About the Company

QuickHyre is an AI-driven platform focused on hiring and job discovery. It connects job seekers, recruiters, and educational institutions while using AI to improve job matching, resume screening, and virtual interview workflows.

Additional Requirements and Notes

Core skills mentioned include Python, Java, SQL, big data fundamentals, analytical thinking, problem solving, and basic data processing knowledge.
Experience or familiarity with Hadoop, Apache Spark, Apache Hive, Apache Kafka, Apache Airflow, ETL processes, distributed computing, or cloud data platforms is beneficial.
Final-year Bachelor’s or Master’s students, or candidates who have recently graduated, may apply.
Relevant coursework, projects, certifications, or research in big data, data engineering, cloud computing, or software development is preferred.

Big Data Internship