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FinAGG logo — FinAGG Analytics Engineering Intern in Lucknow, Uttar Pradesh
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Analytics Engineering Intern

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Location

Lucknow, Uttar Pradesh

Work Mode

Hybrid

Duration

3 months

Stipend

₹16,000/mo

Start Date

Immediate / Rolling

Openings

12 positions

Type

Full-time

Category

Data Analyst

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About the Internship

Join FinAGG in Lucknow as an Analytics Engineering Intern. This entry-level internship is designed for students and recent graduates who learn best by building, shipping and getting real feedback on analytics engineering and the data warehouse work. About the role As an Analytics Engineering…

About FinAGG

FinAGG offers a mentor-led Analytics Engineering Intern in Lucknow with live project work in data analyst, a stipend of ₹16,000/month and a Pre-Placement Offer opportunity for strong performers.
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Lucknow, Uttar PradeshVerified employer12 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 Lucknow. 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

Mentorship from a named mentorLive project experienceExposure to professional tools and workflowsPre-Placement Offer (PPO) opportunityFlexible working hours

Interview & Selection Process

4 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Technical interview on fundamentals and your projects
  3. 3Practical assignment or case study with a short walkthrough
  4. 4HR discussion — stipend, start date, expectations and offer
16,000/month

Stipend · 3 months

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Openings12 positions
Applicants0 applied
ModeHybrid
CategoryData Analyst
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