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Trendlyne logo — Trendlyne Analytics Engineering Intern in Delhi, Delhi
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Analytics Engineering Intern

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Location

Delhi, Delhi

Work Mode

In Office

Duration

6 months

Stipend

₹26,000/mo

Start Date

Immediate / Rolling

Openings

6 positions

Type

Full-time

Category

Data Analyst

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About the Internship

Start your career in analytics engineering and the data warehouse with Trendlyne as an Analytics Engineering Intern in Delhi. You will sit with a working team, use the same tools and systems they do, and own a defined piece of work from day one. About the role As an Analytics Engineering Intern at…

About Trendlyne

Trendlyne offers a mentor-led Analytics Engineering Intern in Delhi with live project work in data analyst, a stipend of ₹26,000/month and a Pre-Placement Offer opportunity for strong performers.
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Delhi, DelhiVerified employer6 openings
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Skills Required

SQLdbt (Data Build Tool)Data ModellingETL / ELT PipelinesPythonSnowflake / BigQueryGit & Version ControlData TestingAirflow BasicsWarehouse Performance

Who Can Apply

  • Final-year students and recent graduates from B.E./B.Tech (CSE/IT), BCA/MCA or M.Sc (Computer Science / Data Science) who are based in or willing to work from Delhi. You should be keen to learn SQL, dbt (Data Build Tool), Data Modelling on real projects and able to write clearly. Freshers are welcome — no prior work experience is required, and a strong project portfolio matters more than a long CV.

Perks

Pre-Placement Offer (PPO) opportunityFlexible working hoursNetworking with senior professionalsInternship CertificateLetter of RecommendationBroad ownership and direct exposure to founders and senior decision-makers

Interview & Selection Process

4 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Online aptitude / domain assessment
  3. 3Technical interview on fundamentals and your projects
  4. 4HR discussion — stipend, start date, expectations and offer
26,000/month

Stipend · 6 months

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Openings6 positions
Applicants0 applied
ModeIn Office
CategoryData Analyst
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