Job Description
Looking for a Data Integration Assistant who's genuinely interested in Data Engineering and wants to make an impact from day one.
You'll be working out of Nagpur (full-time), and honestly, the day-to-day is going to revolve around Model Evaluation & Tuning and Data Preprocessing. We're not looking for someone who just ticks boxes - we want someone who actually cares about data engineering.
On paper, we'd expect M.Tech (Machine Learning) and somewhere around 2 years of experience, but we're just as interested in how you think as in what's on your resume.
Pay-wise, we're offering INR 6.7-13.6 LPA - fair for the junior level band and open to discussion based on what you bring.
The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction.
Relocation assistance may be extended for candidates moving from a different city, subject to approval. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. Mornings are usually spent on planning and status reviews, while the rest of the day is given over to hands-on delivery and problem-solving.
Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. High performers in this role typically move into a broader ownership scope within 18-24 months.
Interested candidates should be prepared to walk through relevant past work during the interview process. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band.
You'll be working out of Nagpur (full-time), and honestly, the day-to-day is going to revolve around Model Evaluation & Tuning and Data Preprocessing. We're not looking for someone who just ticks boxes - we want someone who actually cares about data engineering.
On paper, we'd expect M.Tech (Machine Learning) and somewhere around 2 years of experience, but we're just as interested in how you think as in what's on your resume.
Pay-wise, we're offering INR 6.7-13.6 LPA - fair for the junior level band and open to discussion based on what you bring.
The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction.
Relocation assistance may be extended for candidates moving from a different city, subject to approval. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. Mornings are usually spent on planning and status reviews, while the rest of the day is given over to hands-on delivery and problem-solving.
Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. High performers in this role typically move into a broader ownership scope within 18-24 months.
Interested candidates should be prepared to walk through relevant past work during the interview process. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band.