Location
GIFT City, Gandhinagar, Gujarat
Work Mode
In Office
Duration
6 months
Stipend
₹29,000/mo
Start Date
Immediate / Rolling
Openings
4 positions
Type
Full-time
Category
Data Science
About the Internship
Emkay Global Financial Services has an open Data Engineer Intern position in GIFT City, Gandhinagar for motivated freshers and final-year students. You will work on live data engineering and large-scale pipelines projects and finish with something you can genuinely talk about in interviews.
About…
About Emkay Global Financial Services
Emkay Global Financial Services offers a mentor-led Data Engineer Intern in GIFT City, Gandhinagar with live project work in data science, a stipend of ₹29,000/month and a Pre-Placement Offer opportunity for strong performers.
See all Emkay Global Financial Servicesinternships →GIFT City, Gandhinagar, GujaratVerified employer4 openings
Apply to Emkay Global Financial Services →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 GIFT City, Gandhinagar. 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
Live project experienceExposure to professional tools and workflowsPre-Placement Offer (PPO) opportunityFlexible working hoursNetworking with senior professionals
Interview & Selection Process
4 rounds — typical selection flow for this role:
- 1Application screening & resume shortlisting by the talent team
- 2Technical interview on fundamentals and your projects
- 3Practical assignment or case study with a short walkthrough
- 4HR discussion — stipend, start date, expectations and offer
₹29,000/month
Stipend · 6 months
Openings4 positions
Applicants0 applied
ModeIn Office
CategoryData Science
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