Sense Analytics Engineering Intern is a high-impact internship opportunity for students and early-career professionals who are passionate about data, analytics, and large-scale systems. Based in Bengaluru, India, this role offers hands-on exposure to production-grade data pipelines and analytics systems that power decision-making across Product, Engineering, Go-To-Market, and Leadership teams 📈.
As a Sense Analytics Engineering Intern, you will work on real-world datasets at massive scale, processing 5+ petabytes of data every month. This internship is ideal for candidates looking to build a strong foundation in analytics engineering, data engineering, or data science while learning industry best practices in performance, reliability, and data correctness.
Role Overview
As a Sense Analytics Engineering Intern, you will help design, build, and maintain data pipelines that enable reliable analytics and reporting across the organization. You will work closely with Analytics Engineers and Data Analysts to transform raw data into trusted datasets used for business insights.
This role provides direct exposure to Snowflake-based data warehousing, large-scale data transformations, and analytics workflows used in real production environments. Interns are encouraged to take ownership, ask questions, and contribute meaningfully from day one 🚀.
What You’ll Do
- Write production-grade Python code to build and maintain data pipelines
- Ingest, transform, and model large datasets for analytics and reporting
- Work hands-on with Snowflake for data warehousing, querying, and optimization
- Collaborate with Analytics Engineers and Data Analysts on data models and metrics
- Improve data quality, monitoring, and validation processes
- Debug pipeline failures and analyze data discrepancies
- Learn best practices for scalable analytics engineering and data processing
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Internship Details
| Detail | Information |
|---|---|
| Role | Analytics Engineering Intern |
| Company | Sense |
| Internship Type | Full-Time Internship |
| Location | Bengaluru, India |
| Team | Analytics Engineering |
| Core Technologies | Python, SQL, Snowflake |
| Data Scale | 5+ PB per month |
Expected Stipend 💰
₹35,000 – ₹60,000 per month (Estimated)
This stipend range is based on current market standards for analytics and data engineering internships in Bengaluru. Actual compensation may vary depending on skills, academic background, and Sense’s internal policies.
Skills and Learning Opportunities
This Analytics Engineering Internship at Sense offers deep technical and analytical growth, including:
- Strong hands-on experience with Python-based data pipelines
- Practical exposure to SQL and data warehousing concepts
- Real-world usage of Snowflake in production environments
- Understanding data modeling and metric definition
- Experience handling large-scale datasets with performance considerations
- Exposure to end-to-end data flow across business systems
- Improved debugging, analytical, and problem-solving skills
Preferred Candidate Profile
- Interest in analytics engineering or data engineering roles
- Ability to understand data flows end-to-end
- Willingness to work with large-scale production data
- Strong logical thinking and attention to data correctness
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Perks and Benefits 🌟
- Competitive internship compensation
- Wellness days to rest and recharge
- Flexible work policies supporting learning and performance
- Collaborative and supportive team culture
- Opportunity to work on impactful data-driven initiatives
Who Can Apply
| Requirement | Details |
|---|---|
| Education | Pursuing Bachelor’s or Master’s in Computer Science, Engineering, Statistics, or related field |
| Programming | Strong fundamentals in Python |
| Data Skills | Basic understanding of SQL and data warehousing |
| Interest | Passion for analytics, data engineering, and large datasets |
| Mindset | Curious, detail-oriented, and eager to learn |
| Teamwork | Comfortable in a fast-paced, collaborative environment |
How to Apply
To apply for the Sense Analytics Engineering Intern role, prepare a resume highlighting your Python skills, SQL knowledge, data projects, coursework, or internships. Include examples that demonstrate your interest in analytics, data processing, or large-scale systems.
Candidates are encouraged to practice SQL queries, Python data manipulation, and basic data warehousing concepts before applying. Focus on showcasing your curiosity, learning mindset, and problem-solving abilities. Apply by clicking the Apply button below to start your analytics engineering journey at Sense 📊.
Disclaimer
This job information is collected from official and publicly available sources. No fees are charged for applying, and recruitment or selection is not guaranteed. We are not responsible for any loss or damage arising from reliance on this information.
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