Job Description
**Data Warehouse Engineer** | Coimbatore | Full-time (WFH) | INR 4.5-26.3 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 Data Engineering 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:**
- Data Engineering
- Model Evaluation & Tuning
- Computer Vision/NLP Basics
- Python
- Data Preprocessing
- Machine Learning Algorithms
- B.Tech (CS/AI)
- 4+ years of relevant experience
**Good to know:**
- Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. Most days include at least one review checkpoint where progress is discussed against the plan for the week.
- Compensation includes standard statutory benefits along with performance-linked variable pay. High performers in this role typically move into a broader ownership scope within 18-24 months.
- Learning and certification support is available for tools and frameworks directly relevant to the role. 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. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band.
- Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions.
**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 Data Engineering 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:**
- Data Engineering
- Model Evaluation & Tuning
- Computer Vision/NLP Basics
- Python
- Data Preprocessing
- Machine Learning Algorithms
- B.Tech (CS/AI)
- 4+ years of relevant experience
**Good to know:**
- Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. Most days include at least one review checkpoint where progress is discussed against the plan for the week.
- Compensation includes standard statutory benefits along with performance-linked variable pay. High performers in this role typically move into a broader ownership scope within 18-24 months.
- Learning and certification support is available for tools and frameworks directly relevant to the role. 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. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band.
- Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions.