Job Description
Position: Data Warehouse Engineer
Function: Data Engineering
Industry: Analytics / Data Analytics
Grade: mid level
Location: Hyderabad
Employment Type: Hybrid
Compensation: INR 9.1-29.3 LPA
The organisation invites applications for the above-referenced position. The incumbent shall be responsible for discharging duties associated with data engineering, in accordance with the standards and processes laid down by Analytics / Data Analytics.
Minimum Qualification: B.Tech/B.E
Minimum Experience: 3 years
Core Competencies Required: Predictive Analytics, Data Engineering, Business Intelligence, SQL, Statistical Modelling
Further Information:
Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. Interested candidates should be prepared to walk through relevant past work during the interview process. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. The organisation has historically promoted from within for a majority of its senior and lead openings. There is a defined internal mobility path for people who want to specialise deeper or move into people management. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. The role alternates between independent deep work and short coordination huddles with stakeholders across functions. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. Most days include at least one review checkpoint where progress is discussed against the plan for the week. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. The next logical step from this position is a senior or lead-track role within the same function. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. Relocation assistance may be extended for candidates moving from a different city, subject to approval. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. The package is structured with a fixed component, performance bonus, and standard health coverage. High performers in this role typically move into a broader ownership scope within 18-24 months. 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. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions.
Function: Data Engineering
Industry: Analytics / Data Analytics
Grade: mid level
Location: Hyderabad
Employment Type: Hybrid
Compensation: INR 9.1-29.3 LPA
The organisation invites applications for the above-referenced position. The incumbent shall be responsible for discharging duties associated with data engineering, in accordance with the standards and processes laid down by Analytics / Data Analytics.
Minimum Qualification: B.Tech/B.E
Minimum Experience: 3 years
Core Competencies Required: Predictive Analytics, Data Engineering, Business Intelligence, SQL, Statistical Modelling
Further Information:
Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. Interested candidates should be prepared to walk through relevant past work during the interview process. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. The organisation has historically promoted from within for a majority of its senior and lead openings. There is a defined internal mobility path for people who want to specialise deeper or move into people management. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. The role alternates between independent deep work and short coordination huddles with stakeholders across functions. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. Most days include at least one review checkpoint where progress is discussed against the plan for the week. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. The next logical step from this position is a senior or lead-track role within the same function. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. Relocation assistance may be extended for candidates moving from a different city, subject to approval. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. The package is structured with a fixed component, performance bonus, and standard health coverage. High performers in this role typically move into a broader ownership scope within 18-24 months. 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. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions.