Vijay Nagar in Indore has an Associate ETL Developer opening, full time, on site, supporting a data engineering and BI team that serves multiple internal business units. One and a half years to two years of relevant experience is what the role expects, enough to have already built a handful of real pipelines rather than only academic exercises with tidy sample data.
The job covers transforming raw data into structured reports, building dashboards that business stakeholders actually check regularly, maintaining reporting workflows that were built before you joined, and optimizing queries that have started running slower as data volumes grew past what the original design accounted for. Maintaining someone else's pipeline is a real part of the job, and the team is upfront that inheriting undocumented logic and making sense of it is a normal Tuesday, not an edge case.
Required skills are SQL at a genuinely solid level, ETL tools such as Informatica or Talend, data warehousing concepts, and enough scripting ability to automate repetitive parts of the pipeline rather than doing them by hand every time. A candidate who understands why a slowly changing dimension matters, even if they can't recite the textbook definition, tends to interview well here.
A bachelor's degree in computer science, information technology, or a related field is expected, along with proficiency in SQL, data pipelines, and BI or reporting tools, and ideally some hands-on exposure to the specific tools this role uses already. The team is realistic that not every candidate will have used Informatica or Talend specifically, and is willing to train on tool specifics for someone with strong SQL and ETL fundamentals.
Vijay Nagar has grown into one of Indore's central business and IT districts, and the team here serves internal stakeholders across finance, operations, and sales, each with different reporting cadences and different tolerance for a dashboard that's a day out of date. Learning which stakeholders need real-time accuracy and which are fine with a nightly refresh is part of getting good at this job.
Naukri Mitra has listed a few data engineering roles from this employer, and past hires describe the early months as heavy on reverse-engineering existing pipeline logic, since documentation exists but tends to lag behind what actually changed in production. Associates who ask questions early, rather than guessing at undocumented business logic, tend to avoid the kind of mistakes that are expensive to unwind later.
Interviews include a SQL exercise and a walkthrough of a past data project. Candidates who can explain a time they caught a data quality issue before it reached a stakeholder's dashboard, rather than after, tend to stand out in that conversation.
The broader Data Engineering & BI team this role sits within has grown modestly over the past year, and a fair number of current mid-level staff started in a role similar to this one. That internal mobility is one of the more consistently mentioned reasons past hires give for staying beyond the first year rather than moving on once they've built up experience.
A pipeline that ran fine for months can start failing the moment an upstream source system changes its export format without warning, and associate developers here are expected to build in basic validation checks that catch that kind of silent schema drift before it corrupts a downstream report.
This role is based at Vijay Nagar, Indore, pin code 452010, five days a week on site. Pay is up to ₹59,500 a month. The team hopes to fill this seat within four weeks.