Job Description
An opening exists for a Cloud Data Engineer to join the Application Development / Software Applications vertical, focused on Data Engineering. This is a mid level opening based out of Lucknow, offered on a hybrid basis.
The ideal candidate holds B.Tech/B.E (CS/IT) and brings roughly 5 years of hands-on exposure to data engineering. Day-to-day, the work draws heavily on REST API Development, Database Design (SQL/NoSQL), Java/Python/JavaScript, Version Control (Git), and the person will be expected to apply these skills independently rather than under constant supervision.
Compensation for this position is structured around INR 19.4-28.7 LPA, in line with market standards for mid level roles within application development / software applications.
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. The role alternates between independent deep work and short coordination huddles with stakeholders across functions.
Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable.
Compensation includes standard statutory benefits along with performance-linked variable pay. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round.
Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership.
Interested candidates should be prepared to walk through relevant past work during the interview process. 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. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy.
Learning and certification support is available for tools and frameworks directly relevant to the role. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work.
The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability.
If your background aligns with the above and you're looking for your next step in Data Engineering, we'd like to hear from you.
The ideal candidate holds B.Tech/B.E (CS/IT) and brings roughly 5 years of hands-on exposure to data engineering. Day-to-day, the work draws heavily on REST API Development, Database Design (SQL/NoSQL), Java/Python/JavaScript, Version Control (Git), and the person will be expected to apply these skills independently rather than under constant supervision.
Compensation for this position is structured around INR 19.4-28.7 LPA, in line with market standards for mid level roles within application development / software applications.
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. The role alternates between independent deep work and short coordination huddles with stakeholders across functions.
Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable.
Compensation includes standard statutory benefits along with performance-linked variable pay. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round.
Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership.
Interested candidates should be prepared to walk through relevant past work during the interview process. 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. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy.
Learning and certification support is available for tools and frameworks directly relevant to the role. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work.
The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability.
If your background aligns with the above and you're looking for your next step in Data Engineering, we'd like to hear from you.