Job Description
We are looking to onboard an ETL Developer to strengthen our Data Engineering function within Analytics / Data Analytics. This is a junior level opening based out of Kochi, offered on a internship basis.
The ideal candidate holds B.Sc (Statistics) and brings roughly 0 years of hands-on exposure to data engineering. Day-to-day, the work draws heavily on Data Engineering, Dashboarding, SQL, A/B Testing, and the person will be expected to apply these skills independently rather than under constant supervision.
Compensation for this position is structured around INR 2.5-11.3 LPA, in line with market standards for junior level roles within analytics / data analytics.
Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership.
No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. Most days include at least one review checkpoint where progress is discussed against the plan for the week.
Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding.
Relocation assistance may be extended for candidates moving from a different city, subject to approval. The role alternates between independent deep work and short coordination huddles with stakeholders across functions.
Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here.
We value consistency and follow-through more than flashy credentials - if that matches how you work, apply in.
The ideal candidate holds B.Sc (Statistics) and brings roughly 0 years of hands-on exposure to data engineering. Day-to-day, the work draws heavily on Data Engineering, Dashboarding, SQL, A/B Testing, and the person will be expected to apply these skills independently rather than under constant supervision.
Compensation for this position is structured around INR 2.5-11.3 LPA, in line with market standards for junior level roles within analytics / data analytics.
Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership.
No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. Most days include at least one review checkpoint where progress is discussed against the plan for the week.
Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding.
Relocation assistance may be extended for candidates moving from a different city, subject to approval. The role alternates between independent deep work and short coordination huddles with stakeholders across functions.
Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here.
We value consistency and follow-through more than flashy credentials - if that matches how you work, apply in.