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Pay1 logo — Pay1 Airflow Data Pipeline Intern in Navi Mumbai, Maharashtra
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Airflow Data Pipeline Intern

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Location

Navi Mumbai, Maharashtra

Work Mode

In Office

Duration

2 months

Stipend

₹19,000/mo

Start Date

Immediate / Rolling

Openings

8 positions

Type

Full-time

Category

Data Science

Apply Now — ₹19,000/moApply on Company Website ↗

About the Internship

Join Pay1 in Navi Mumbai as an Airflow Data Pipeline Intern. This entry-level internship is designed for students and recent graduates who learn best by building, shipping and getting real feedback on workflow orchestration with Apache Airflow work. About the role As an Airflow Data Pipeline…

About Pay1

Pay1 offers a mentor-led Airflow Data Pipeline Intern in Navi Mumbai with live project work in data science, a stipend of ₹19,000/month and a Pre-Placement Offer opportunity for strong performers.
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Navi Mumbai, MaharashtraVerified employer8 openings
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Skills Required

Apache AirflowDAG AuthoringPythonSQLScheduling & RetriesSensors & HooksData PipelinesDockerAlertingGit

Who Can Apply

  • Final-year students and recent graduates from B.E./B.Tech (CSE/IT), BCA/MCA or B.Sc (Computer Science / IT / Statistics) who are based in or willing to work from Navi Mumbai. You should be keen to learn Apache Airflow, DAG Authoring, Python 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

Flexible working hoursNetworking with senior professionalsInternship CertificateLetter of RecommendationMentorship from a named mentorBroad ownership and direct exposure to founders and senior decision-makers

Interview & Selection Process

3 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Team-fit / behavioural interview with the team
  3. 3HR discussion — stipend, start date, expectations and offer
19,000/month

Stipend · 2 months

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Openings8 positions
Applicants0 applied
ModeIn Office
CategoryData Science
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