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Associate Architect Data Operations Engineer

Tavant Technologies
Posted on
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Experience
7 - 12 yrs
Salary (CTC)
₹17.1L - ₹21.8L
Job Location
Bengaluru, India
Vacancy
1
Designation
Senior Data Engineer
Job Type
ONSITE

Job Description

Lead and mentor an offshore Data Ops team- define roles, set goals, manage performance

       Hands-on incident leadership- personally join critical data incidents, triage issues, guide root-cause analysis, and validate fixes before escalation

       Own end-to-end data operations- plan workflows, allocate tasks, manage capacity/shifts, and ensure coverage for 24/7 pipelines

       Troubleshoot complex pipeline failures, configuration issues, and data quality problems; provide technical solutions and coding fixes when needed

       Define and enforce data governance policies, standards, and best practices across the offshore team

       Coordinate with onshore Data Ops team to align priorities, manage expectations, and resolve blockers

       Monitor operational metrics (pipeline success rates, data quality, SLA adherence) and report to onshore Data Ops management

       Drive tooling and platform improvements- evaluate new technologies, configure CI/CD, and implement automation to reduce manual work.


Roles and Responsibilities

Lead and mentor an offshore Data Ops team- define roles, set goals, manage performance

       Hands-on incident leadership- personally join critical data incidents, triage issues, guide root-cause analysis, and validate fixes before escalation

       Own end-to-end data operations- plan workflows, allocate tasks, manage capacity/shifts, and ensure coverage for 24/7 pipelines

       Troubleshoot complex pipeline failures, configuration issues, and data quality problems; provide technical solutions and coding fixes when needed

       Define and enforce data governance policies, standards, and best practices across the offshore team

       Coordinate with onshore Data Ops team to align priorities, manage expectations, and resolve blockers

       Monitor operational metrics (pipeline success rates, data quality, SLA adherence) and report to onshore Data Ops management

       Drive tooling and platform improvements- evaluate new technologies, configure CI/CD, and implement automation to reduce manual work.

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