Job Description
Data Operations Engineer | Kochi | INR 4.8-13.3 LPA
Data Engineering role, junior level, full-time.
Need: B.Tech/B.E, 0+ yrs.
Core skills: Data Visualization, SQL, Data Engineering, Excel (Advanced).
If this fits your profile in data engineering, apply now.
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. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables.
Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns.
The role alternates between independent deep work and short coordination huddles with stakeholders across functions. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth.
Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction.
The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls.
Interested candidates should be prepared to walk through relevant past work during the interview process. High performers in this role typically move into a broader ownership scope within 18-24 months.
Relocation assistance may be extended for candidates moving from a different city, subject to approval. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership.
There is a defined internal mobility path for people who want to specialise deeper or move into people management. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band.
Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability.
Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. 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.
The next logical step from this position is a senior or lead-track role within the same function. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments.
Data Engineering role, junior level, full-time.
Need: B.Tech/B.E, 0+ yrs.
Core skills: Data Visualization, SQL, Data Engineering, Excel (Advanced).
If this fits your profile in data engineering, apply now.
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. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables.
Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns.
The role alternates between independent deep work and short coordination huddles with stakeholders across functions. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth.
Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction.
The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls.
Interested candidates should be prepared to walk through relevant past work during the interview process. High performers in this role typically move into a broader ownership scope within 18-24 months.
Relocation assistance may be extended for candidates moving from a different city, subject to approval. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership.
There is a defined internal mobility path for people who want to specialise deeper or move into people management. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band.
Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability.
Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. 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.
The next logical step from this position is a senior or lead-track role within the same function. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments.