Discover Dollar is hiring Analytics/AI Engineer Interns for its Bangalore office. This full-time internship is ideal for freshers and early-career candidates (0–1 years) who want to work at the intersection of data engineering, analytics, and AI 📊🤖.
In this role, you will help transform raw data into meaningful insights by building scalable pipelines, designing data models, and supporting analytics and business intelligence workflows. If you enjoy working with Python, SQL, PySpark, Polars, and modern cloud data platforms, this internship offers strong hands-on exposure and real-world learning.
About Discover Dollar
Discover Dollar is a data-driven organization focused on enabling smarter, faster decision-making through analytics and AI. The company emphasizes scalable data systems, high-quality data pipelines, and modern engineering practices to support business growth.
At Discover Dollar, interns work closely with experienced engineers, analysts, and stakeholders, gaining practical exposure to production-grade data systems while contributing to real business outcomes.
Role Overview
As an Analytics/AI Engineer Intern at Discover Dollar, you will act as a bridge between data engineering and data analysis. Your work will focus on building reliable data pipelines, transforming datasets for analytics, and enabling data-driven decisions across teams.
You will also gain exposure to Gen-AI-powered data workflows, cloud platforms, and modern distributed processing frameworks.
Key Responsibilities
- Design and implement scalable data pipelines using Python, PySpark, Polars, and Gen-AI tools
- Build and maintain data models and transformation logic for analytics and BI use cases
- Apply Object-Oriented Programming (OOP) principles to create reusable, maintainable data workflows
- Process and manage large datasets using Databricks and cloud-based platforms
- Collaborate with data scientists, analysts, and business teams to understand data requirements
- Ensure data accuracy, consistency, and reliability across systems and reports
- Identify and resolve data quality issues proactively
- Continuously improve pipeline performance and efficiency
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Internship Details
| Detail | Information |
|---|---|
| Company | Discover Dollar |
| Role | Analytics / AI Engineer Intern |
| Experience | 0 – 1 Years |
| Employment Type | Full-Time |
| Location | Bangalore, Karnataka |
| Work Mode | On-site |
| Expected Stipend | See below |
Expected Stipend 💰
💰 ₹25,000 – ₹45,000 per month (Estimated)
This estimate is based on current market trends for analytics and data engineering internships in Bangalore. Actual compensation may vary depending on skills, performance, and internal company policies.
Must-Have Skills
- Strong proficiency in Python programming
- Good understanding of Object-Oriented Programming (OOP) concepts
- Advanced SQL skills for querying and data manipulation
- Hands-on experience with PySpark and Polars
- Ability to work independently in a fast-paced, agile environment
- Strong problem-solving mindset with willingness to learn and experiment
- Good communication and collaboration skills
Nice to Have Skills
- Understanding of data architecture, ETL/ELT processes, and data modeling
- Exposure to Databricks and Azure Cloud environments
- Basic knowledge of Data Structures and Algorithms (DSA)
- Familiarity with Git, version control, CI/CD pipelines, and coding best practices
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Who Can Apply
| Criteria | Requirement |
|---|---|
| Education | Bachelor’s degree (pursuing or completed) in CS, IT, Data, AI, or related field |
| Experience | Freshers or candidates with up to 1 year experience |
| Technical Skills | Python, SQL, PySpark, Polars |
| Mindset | Analytical, curious, and problem-solving oriented |
| Location | Must be able to work from Bangalore |
What You’ll Gain 🌟
- Hands-on experience with real-world data pipelines and analytics systems
- Exposure to AI-driven and Gen-AI-powered data workflows
- Practical knowledge of Databricks and cloud-based data platforms
- Strong foundation in analytics engineering and data engineering
- Mentorship from experienced engineers and data professionals
- Career-ready skills for Analytics Engineer, Data Engineer, or AI roles
How to Apply
Before applying, ensure your resume highlights:
- Python and SQL projects
- Experience with PySpark, Polars, or large datasets
- Any academic, personal, or internship projects related to data engineering or analytics
Practice writing clean, modular code and be ready to explain your data workflows clearly.
Apply by clicking the Apply button below and submit your updated resume.
Disclaimer
This job information is collected from official and publicly available sources. No fees are charged for applying to this internship. We do not guarantee recruitment and are not responsible for any losses arising from reliance on this information.
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