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Software Engineer Intern

Zeotap

Updated on: 07 January 2026

Additional Details

Website

www.zeotap.com

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Work Location

Bengaluru, India

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Job Type

Internship + Fte

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Batch

2026 | 2025

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Stream Required

BE/B-Tech/ME/M-Tech

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Salary

70,000- 80,000/Month(Expected Stipend)

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Job Description

About Zeotap

Founded in Berlin in 2014, Zeotap started with a mission to provide high-quality data to marketers. As we evolved, we recognized a greater challenge: helping brands create personalized, multi-channel experiences in a world that demands strict data privacy and compliance. This drive led to the launch of Zeotap’s Customer Data Platform (CDP) in 2020—a powerful, AI-native SaaS suite built on Google Cloud that empowers brands to unlock and activate customer data securely.

Today, Zeotap is trusted by some of the world’s most innovative brands, including Virgin Media O2, Amazon, and Audi, to create engaging, data-driven customer experiences that drive better business outcomes across marketing, sales, and service. With an unique background in high-quality data solutions, Zeotap is a leader in the European CDP market, empowering enterprises with a secure, privacy-first solution to harness the full potential of their customer data.

Responsibilities:

  • You will be a part of product development team, developing modules for data driven applications

  • You will deliver production quality code adhering to best practices

  • You should assist in production troubleshooting

  • You should research and implement cutting-edge technologies relevant to zeotap business problems

  • You adhere to zeotap’s company, privacy and information security policies and procedures

  • You complete all the awareness training assigned on time

Requirements

  • Looking for candidates who can do minimum 6 months Internship

  • Very good in Advanced data structures and algorithms

  • Strong problem-solving ability

  • Good programming skills in any one of - Java, Scala, GoLang, Python

  • Good SQL querying skills. Above Basic level.

  • Degree in Computer Science or IT with strong academic credentials

  • Experience in handling terabyte size datasets

  • Strong understanding of transactional and high scale systems

  • Courses in Big data and No SQL technologies

  • Courses in complex SQL queries

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