Job Description
This position calls for an Automation Data Engineer who can take ownership of core responsibilities within our Data Engineering team. This is a mid level opening based out of Bengaluru, offered on a full-time (wfh) basis.
The ideal candidate holds B.Sc (Statistics) and brings roughly 5 years of hands-on exposure to data engineering. Day-to-day, the work draws heavily on SQL, Data Engineering, Data Visualization, Power BI/Tableau, and the person will be expected to apply these skills independently rather than under constant supervision.
Compensation for this position is structured around INR 16.0-35.4 LPA, in line with market standards for mid level roles within analytics / data analytics.
Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. The role alternates between independent deep work and short coordination huddles with stakeholders across functions. 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.
There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership.
Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. The package is structured with a fixed component, performance bonus, and standard health coverage. Compensation includes standard statutory benefits along with performance-linked variable pay.
Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work.
The organisation has historically promoted from within for a majority of its senior and lead openings. Internal job postings are open to employees who've completed a minimum tenure in their current role.
This is a good fit for someone who wants real ownership rather than a purely execution-only role.
The ideal candidate holds B.Sc (Statistics) and brings roughly 5 years of hands-on exposure to data engineering. Day-to-day, the work draws heavily on SQL, Data Engineering, Data Visualization, Power BI/Tableau, and the person will be expected to apply these skills independently rather than under constant supervision.
Compensation for this position is structured around INR 16.0-35.4 LPA, in line with market standards for mid level roles within analytics / data analytics.
Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. The role alternates between independent deep work and short coordination huddles with stakeholders across functions. 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.
There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership.
Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. The package is structured with a fixed component, performance bonus, and standard health coverage. Compensation includes standard statutory benefits along with performance-linked variable pay.
Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work.
The organisation has historically promoted from within for a majority of its senior and lead openings. Internal job postings are open to employees who've completed a minimum tenure in their current role.
This is a good fit for someone who wants real ownership rather than a purely execution-only role.