Crayon Data

Data Engineering Intern

InternshipIn OfficeVijayawada, Andhra Pradesh4 months20K/mo1 openingImmediate / Rolling

About this internship

Join Crayon Data in Vijayawada as a Data Engineering Intern. This entry-level internship is designed for students and recent graduates who learn best by building, shipping and getting real feedback on data engineering work. About the role As a Data Engineering Intern at Crayon Data, your core…

Skills you'll use

PythonSQLApache AirflowSparkETL PipelinesData WarehousingdbtAWS / GCPData ModellingGit

What you'll do

Work on building and maintaining data pipelines and warehouse models alongside the core team
Apply Python, SQL, Apache Airflow, Spark to live, production-facing problems
Document your work clearly for reviewers and stakeholders
Participate in reviews and act on the feedback you receive
Collaborate across engineering, product, design or business as required
Follow the team's quality, testing and documentation standards

Who can apply

Pursuing or recently completed B.E./B.Tech/BCA/MCA — 2026 freshers & final-year students welcome
Working knowledge of Python, SQL, Apache Airflow (or a genuine willingness to learn them)
Strong fundamentals in your discipline and clear problem-solving ability
Care with detail and the discipline to document your work
Clear written and verbal communication in English
Based in or willing to work from Vijayawada, Andhra Pradesh

Perks & benefits

Flexible working hoursNetworking with senior professionalsInternship CertificateLetter of RecommendationMentorship from a named mentor

Interview & selection process

3 rounds — typical selection flow for this role:

1Application screening & resume shortlisting by the talent team
2Practical assignment or case study with a short walkthrough
3HR discussion — stipend, start date, expectations and offer

About Crayon Data

Crayon Data operates in the data science & analytics sector and has an active presence in Vijayawada. Interns here are put on real work from the start, because the team's view is that the fastest way to learn a craft is to practise it under people who already do it well — not to watch it from a…

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