Ranjit Avenue in Amritsar has a Lead Data Engineer opening, full time, on site, with a data team building ETL pipelines at genuine scale. Eleven years of experience is the expectation, and the pay reflects it: this is one of the higher-compensated roles in this batch, calling for real depth across the modern data engineering stack.
The work covers transforming raw data into structured reports, building dashboards for business stakeholders, maintaining existing reporting workflows, and optimizing queries for faster reporting. A lead engineer here owns pipeline architecture decisions across the whole data platform, not just individual ETL jobs.
A bachelor's degree in computer science, information technology, or a related field is expected, along with experience working with large, real-world datasets and demonstrated proficiency in SQL, data pipelines, and business intelligence or reporting tools.
Experience architecting a data platform that had to scale significantly, familiarity with cloud data warehouse platforms, and any background where a pipeline redesign genuinely improved reliability across the whole system.
Amritsar's data engineering scene is smaller than the major metros, and this lead role's architectural decisions affect decisions across the entire business. Naukri Mitra has listed a few data roles from this employer, and lead engineers who've joined recently describe the direct line from their architecture decisions to business outcomes as genuinely satisfying, more so than a similar role at a larger company where that connection tends to get diluted.
Interviews include a technical round on pipeline architecture and a discussion of a past platform redesign. Candidates who explain why the original architecture stopped scaling tend to interview well.
This role is based at Ranjit Avenue, Amritsar, pin code 143001, five days a week on site. Pay runs up to ₹2,23,500 a month. The team hopes to fill this seat within seven to eight weeks, given the seniority of the search.