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Ashika Group logo — Ashika Group Data Engineer Intern in Bhilwara, Rajasthan
Ashika Group VerifiedActively Hiring

Data Engineer Intern

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Location

Bhilwara, Rajasthan

Work Mode

Hybrid

Duration

2 months

Stipend

₹33,000/mo

Start Date

Immediate / Rolling

Openings

4 positions

Type

Full-time

Category

Data Science

Apply Now — ₹33,000/moApply on Company Website ↗

About the Internship

Ashika Group is hiring a Data Engineer Intern in Bhilwara — a hands-on, mentor-led internship built for students and 2026 freshers who want real exposure to data engineering and large-scale pipelines rather than a certificate-only programme. About the role As a Data Engineer Intern at Ashika…

About Ashika Group

Ashika Group offers a mentor-led Data Engineer Intern in Bhilwara with live project work in data science, a stipend of ₹33,000/month and a Pre-Placement Offer opportunity for strong performers.
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Bhilwara, RajasthanVerified employer4 openings
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Skills Required

PySparkDatabricksSnowflakeApache KafkaETL Pipeline DevelopmentAdvanced SQLApache AirflowData Modelling & WarehousingPythonCloud Storage (S3 / ADLS / GCS)

Who Can Apply

  • Final-year students and recent graduates from B.E./B.Tech (CSE/IT), BCA, MCA or M.Sc (Computer Science) who are based in or willing to work from Bhilwara. You should be keen to learn PySpark, Databricks, Snowflake 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

Exposure to professional tools and workflowsPre-Placement Offer (PPO) opportunityFlexible working hoursNetworking with senior professionalsInternship Certificate

Interview & Selection Process

4 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. 3Online aptitude / domain assessment
  4. 4HR discussion — stipend, start date, expectations and offer
33,000/month

Stipend · 2 months

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Openings4 positions
Applicants0 applied
ModeHybrid
CategoryData Science
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