Big data intern

Cloud Counselage Pvt Ltd; Mumbai; Hybrid; INR 223,200 - 334,800; Full time

Benefits offered by this job

Mentorship from experienced data engineers

Exposure to real-world data challenges

Opportunities for workshops and training

Job summary

A dynamic technology firm in India is seeking a Big Data Intern to join their data engineering and analytics teams. The role involves managing large datasets and gaining hands-on experience with tools such as Hadoop and Spark. Ideal candidates should have a basic understanding of SQL and programming languages like Python or Java. This internship includes mentorship and the opportunity to tackle real-world data challenges while supporting the implementation of ETL processes. Flexible working options are available.

Qualifications

• Basic understanding of SQL and programming languages such as Python or Java.
• Interest in data processing and analytics.
• Familiarity with databases and some exposure to big data concepts.

Responsibilities

• Assist in data cleaning, processing, and transformation tasks.
• Learn and work with Big Data tools and frameworks like Hadoop, Spark, and HDFS.
• Collaborate with senior team members in analyzing large datasets.
• Perform basic data analysis to derive insights.
• Support the team in implementing ETL processes.

Skills

SQL

Python

Java

Analytical skills

Problem-solving

Education

Currently pursuing a degree in data science, computer science, or related fields

Tools

Hadoop

Spark

NoSQL databases

Job description

As a Big Data Intern, you will assist the data engineering and analytics teams in managing large datasets, gaining hands‑on experience with tools like Hadoop, Spark, and NoSQL databases. You will work on data processing tasks and contribute to developing solutions that make sense of vast amounts of data.

What's for the Candidate:

• Practical experience working with large datasets and cutting‑edge technologies
• Mentorship from experienced data engineers and analysts
• Exposure to real‑world data challenges
• Opportunities to participate in workshops and training

Key Responsibilities:

• Assist in data cleaning, processing, and transformation tasks
• Learn and work with Big Data tools and frameworks like Hadoop, Spark, and HDFS
• Collaborate with senior team members in analyzing large datasets
• Perform basic data analysis to derive insights
• Support the team in implementing ETL (Extract, Transform, Load) processes

Requirements:

• Basic understanding of SQL and programming languages such as Python or Java
• Interest in data processing and analytics
• Familiarity with databases and some exposure to big data concepts
• Strong analytical and problem‑solving skills
• Currently pursuing a degree in data science, computer science, or related fields

Job Location: Remote/Hybrid/In-Office

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