Job Description
**Data Technology Engineer** | Chandigarh | Contract | INR 7.4-22.9 LPA
**About the role:**
- Position within Data Engineering, under the Machine Learning vertical
- Level: mid level
- Reports to the functional head for Data Engineering
**What you'll do:**
- Handle core data engineering activities on a day-to-day basis
- Use TensorFlow/PyTorch regularly as part of core deliverables
- Work closely with adjacent teams to align priorities
- Track progress against agreed timelines and escalate issues proactively
**What you'll need:**
- TensorFlow/PyTorch
- Computer Vision/NLP Basics
- Cloud Platforms (AWS/GCP)
- Data Engineering
- Python
- M.Tech (Machine Learning)
- 5+ years of relevant experience
**Good to know:**
- Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. Relocation assistance may be extended for candidates moving from a different city, subject to approval. Interested candidates should be prepared to walk through relevant past work during the interview process.
- 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. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy.
- The next logical step from this position is a senior or lead-track role within the same function. The package is structured with a fixed component, performance bonus, and standard health coverage.
- No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction.
- High performers in this role typically move into a broader ownership scope within 18-24 months. There is a defined internal mobility path for people who want to specialise deeper or move into people management. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability.
**About the role:**
- Position within Data Engineering, under the Machine Learning vertical
- Level: mid level
- Reports to the functional head for Data Engineering
**What you'll do:**
- Handle core data engineering activities on a day-to-day basis
- Use TensorFlow/PyTorch regularly as part of core deliverables
- Work closely with adjacent teams to align priorities
- Track progress against agreed timelines and escalate issues proactively
**What you'll need:**
- TensorFlow/PyTorch
- Computer Vision/NLP Basics
- Cloud Platforms (AWS/GCP)
- Data Engineering
- Python
- M.Tech (Machine Learning)
- 5+ years of relevant experience
**Good to know:**
- Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. Relocation assistance may be extended for candidates moving from a different city, subject to approval. Interested candidates should be prepared to walk through relevant past work during the interview process.
- 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. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy.
- The next logical step from this position is a senior or lead-track role within the same function. The package is structured with a fixed component, performance bonus, and standard health coverage.
- No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction.
- High performers in this role typically move into a broader ownership scope within 18-24 months. There is a defined internal mobility path for people who want to specialise deeper or move into people management. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability.