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Airlearn logo — Airlearn ETL Engineer Intern in Mysuru, Karnataka
Airlearn VerifiedActively Hiring

ETL Engineer Intern

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Location

Mysuru, Karnataka

Work Mode

Hybrid

Duration

3 months

Stipend

₹17,000/mo

Start Date

Immediate / Rolling

Openings

15 positions

Type

Full-time

Category

Data Science

Apply Now — ₹17,000/moApply on Company Website ↗

About the Internship

Join Airlearn in Mysuru as an ETL Engineer Intern. This entry-level internship is designed for students and recent graduates who learn best by building, shipping and getting real feedback on ETL and data warehousing work. About the role As an ETL Engineer Intern at Airlearn, your core focus will…

About Airlearn

Airlearn offers a mentor-led ETL Engineer Intern in Mysuru with live project work in data science, a stipend of ₹17,000/month and a Pre-Placement Offer opportunity for strong performers.
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Mysuru, KarnatakaVerified employer15 openings
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Skills Required

ETL DevelopmentSQLData WarehousingDimensional ModellingJob SchedulingData ReconciliationPythonError HandlingPerformance TuningDocumentation

Who Can Apply

  • Final-year students and recent graduates from B.E./B.Tech (any branch), BCA/MCA, B.Sc (Computer Science / IT) or MCA who are based in or willing to work from Mysuru. You should be keen to learn ETL Development, SQL, Data Warehousing 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 hoursDirect access to the team that owns the data you work on

Interview & Selection Process

3 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Online aptitude / domain assessment
  3. 3HR discussion — stipend, start date, expectations and offer
17,000/month

Stipend · 3 months

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Openings15 positions
Applicants0 applied
ModeHybrid
CategoryData Science
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