Junior Hadoop Developer Internship, Guindy, Chennai
An on-site internship for a Junior Hadoop Developer is open in Guindy, Chennai, paying up to ₹21,000 a month. No prior professional experience is required, which makes this a reasonable entry point for someone who's built a few data projects on their own but hasn't yet worked inside a real production pipeline.
The team supports a handful of internal dashboards and reports that business teams rely on daily, and the data feeding those reports comes from more sources than any one system can track cleanly on its own. Keeping that pipeline running and catching problems before a dashboard shows the wrong number to someone in a meeting is where an intern actually gets useful, fast.
Students often assume an internship like this means watching from the sidelines for months before touching anything real. That's not really how it works here. Small, contained pieces of actual pipeline work are handed over early, under supervision, because that's a faster way to learn the systems than sitting through weeks of observation alone.
What you'd be working on
- Helping design and maintain data pipelines that move information between systems
- Pulling together data that lives in separate systems so it tells one coherent story
- Building reports or dashboards that business teams actually use
- Checking data quality across systems and flagging inconsistencies before they reach a report
An example of the kind of thing that comes up: two source systems disagree on a customer count by a few hundred records after a batch load, and figuring out whether that's a timing issue, a duplicate key, or a genuine data problem takes some patience and a fair bit of query-writing before anyone can trust the number again.
What you'll need coming in
A bachelor's degree is the expected minimum, and this internship is aimed at students or recent graduates who are still building their professional experience. What matters more than a finished resume is comfort with SQL and some exposure to how data pipelines actually move information from one place to another, even if that exposure came from coursework or a personal project rather than a job.
Business intelligence or reporting tools also show up regularly in this work, so anyone who's built even a basic dashboard before will find the transition into this role smoother. A student who's spent time in a database class writing joins and aggregations, or who's poked around Power BI or Tableau for a class project, already has a meaningful head start over someone who's only read about these tools.
Technical skills
The core toolset here is Hadoop, HDFS, and MapReduce, along with Hive for querying and SQL for the day-to-day data work. None of these need to be mastered before starting; the internship exists specifically to build that depth on the job. Naukri Mitra tends to see the strongest candidates for roles like this come in with solid SQL fundamentals and a general sense of how distributed data systems work, even without formal Hadoop experience.
Nobody's expected to already know Python or Spark walking in, though picking either up quickly once you're on the team will make the ramp-up noticeably shorter. If you've never touched Hadoop specifically but understand why splitting a large dataset across multiple machines matters, that conceptual grounding will carry you through the first few weeks more than any specific tool on this list.
Pay and setup
The internship pays a stipend of up to ₹21,000 monthly and is based on-site at the Guindy office in Chennai. It's structured as a genuine internship rather than a disguised full-time role, with the understanding that a good chunk of the early weeks will go toward learning the existing systems before contributing independently.
Benefits
- Monthly stipend
- Direct mentorship from senior members of the data team
- A certificate of completion at the end of the internship
- On-site cafeteria access and cab or commute support
There's also strong potential for a full-time offer at the end of the internship for interns who show real progress, though that outcome depends on performance and isn't guaranteed from day one.
What the pace looks like
The early weeks lean heavily on shadowing and small, well-defined tasks while getting oriented to the pipeline architecture. As familiarity builds, interns typically start owning smaller pieces of the pipeline directly, with a senior engineer reviewing the work rather than doing it. Mistakes in this stretch are expected and treated as part of learning the system, not as a mark against anyone.
By the later part of the internship, a strong intern is usually trusted to investigate a data quality issue on their own before flagging it, rather than escalating every anomaly immediately. That shift, from reporting problems to actually diagnosing them, tends to be the clearest signal of how ready someone is for a full-time offer.
Why this internship specifically
Chennai has a growing concentration of data engineering and BI roles, and Hadoop skills, in particular, remain in steady demand for teams that are still running large-scale batch processing rather than having fully shifted to newer streaming architectures. For a student weighing Hadoop developer internships in Chennai against other data-related options, this one offers direct exposure to production pipelines rather than isolated coursework-style exercises.
How to apply
Apply through the listing with a resume or portfolio that shows hands-on work with SQL, data pipelines, or reporting tools, including academic or personal projects. If you've built something that pulls data from more than one source and cleaned it up before using it, describe that specifically. Shortlisted candidates will be asked to walk through a brief SQL exercise as part of the process, intended to gauge comfort with the basics rather than to trip anyone up.
Being based in or near Guindy will make the on-site schedule easier to manage, though students commuting from elsewhere in Chennai for the internship period are common. The team usually gets back to applicants within a couple of weeks of submission, and it's fine to ask upfront about the typical week's schedule or how mentorship is structured if that would help you decide whether to apply.
