Job Description
The organisation is seeking a qualified Data Processing Analyst (Junior) to support ongoing initiatives in Data Engineering. This is a junior level opening based out of Delhi NCR, offered on a full-time (wfh) basis.
The ideal candidate holds B.Tech (CS/AI) and brings roughly 2 years of hands-on exposure to data engineering. Day-to-day, the work draws heavily on Data Engineering, Feature Engineering, Python, Data Preprocessing, and the person will be expected to apply these skills independently rather than under constant supervision.
Compensation for this position is structured around INR 9.4-15.9 LPA, in line with market standards for junior level roles within machine learning.
The role alternates between independent deep work and short coordination huddles with stakeholders across functions. 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.
A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held.
This role offers a genuine opportunity to build depth in Data Engineering while working alongside an experienced team.
The ideal candidate holds B.Tech (CS/AI) and brings roughly 2 years of hands-on exposure to data engineering. Day-to-day, the work draws heavily on Data Engineering, Feature Engineering, Python, Data Preprocessing, and the person will be expected to apply these skills independently rather than under constant supervision.
Compensation for this position is structured around INR 9.4-15.9 LPA, in line with market standards for junior level roles within machine learning.
The role alternates between independent deep work and short coordination huddles with stakeholders across functions. 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.
A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held.
This role offers a genuine opportunity to build depth in Data Engineering while working alongside an experienced team.