π Zeotap Hiring Software Engineer Intern | 6-Month Internship
Are you a coding enthusiast looking for hands-on experience in Big Data & AI-driven SaaS applications? Zeotap, a leading Customer Data Platform (CDP) provider, is offering a 6-month internship for Software Engineers in Bengaluru. Work on data-driven applications, tackle real-world challenges, and gain expertise in advanced data structures, algorithms, and scalable systems.

πΒ Company: Zeotap
πΒ Role: Software Engineer – Intern
πΒ Location: Bengaluru (On-site)
πΒ Duration: 6 Months
πΒ Application Mode: Online
π― Key Responsibilities
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Work on the product development team, developing modules for data-driven applications.
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Write production-quality code following best practices.
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Assist in troubleshooting and resolving production issues.
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Research and implement cutting-edge technologies relevant to Zeotap’s business.
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Collaborate with internal teams to optimize systems and workflows.
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Ensure compliance with privacy and security policies.
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β Who Can Apply?
β Available for a 6-month full-time internship (On-site in Bengaluru).
β Pursuing or completed a degree in Computer Science or IT with strong academic credentials.
β Strong problem-solving skills and a passion for software engineering.
β Experience handling terabyte-scale datasets is a plus.
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π Required Skills
πΉ Advanced Data Structures & Algorithms β Strong problem-solving ability.
πΉ Programming Skills β Proficiency in Java, Scala, GoLang, or Python.
πΉ SQL Querying β Knowledge beyond basic SQL queries.
πΉ Big Data & NoSQL β Exposure to Big Data, NoSQL technologies, and transactional systems is a plus.
πΉ Technical Courses β Completed coursework in Big Data, SQL, and high-scale systems is a bonus.
π’ About Zeotap
π Zeotap was founded in Berlin in 2014 and is a leading Customer Data Platform (CDP) provider. Their AI-native SaaS suite helps global brands like Amazon, Virgin Media O2, and Audi create personalized, privacy-first customer experiences.
With a strong presence in Europe, Zeotap continues to innovate in data solutions, predictive analytics, and audience management.
Donβt miss this opportunity to work on high-scale systems & Big Data applications!
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