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AgroStar logo — AgroStar Databricks Intern in Haldwani, Uttarakhand
AgroStar VerifiedActively Hiring

Databricks Intern

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Location

Haldwani, Uttarakhand

Work Mode

In Office

Duration

6 months

Stipend

₹21,000/mo

Start Date

Immediate / Rolling

Openings

9 positions

Type

Full-time

Category

Data Science

Apply Now — ₹21,000/moApply on Company Website ↗

About the Internship

Start your career in large-scale processing with Spark and Databricks with AgroStar as a Databricks Intern in Haldwani. 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 a Databricks Intern at AgroStar, your…

About AgroStar

AgroStar offers a mentor-led Databricks Intern in Haldwani with live project work in data science, a stipend of ₹21,000/month and a Pre-Placement Offer opportunity for strong performers.
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Haldwani, UttarakhandVerified employer9 openings
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Skills Required

Apache SparkDatabricksPySparkSQLDelta LakeData PartitioningPythonJob SchedulingPerformance TuningGit

Who Can Apply

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

Letter of RecommendationMentorship from a named mentorLive project experienceExposure to professional tools and workflowsPre-Placement Offer (PPO) opportunityDirect 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. 2Discussion with the hiring manager on the role and your fit
  3. 3HR discussion — stipend, start date, expectations and offer
21,000/month

Stipend · 6 months

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Openings9 positions
Applicants0 applied
ModeIn Office
CategoryData Science
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