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Tier-1 brand and metro location increase candidate density despite senior, specialized ETL focus.
ETL, SQL and data platform skills are broadly transferable across industries.
Requires specific data/ETL technologies and senior-level responsibilities but lacks explicit years requirement.
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Own the timely resolution of ETL failure tickets across multiple clients and industries to maintain high project delivery standards.
Lead and mentor sub-teams within BizOps to meet client deliverables and improve SLA performance through innovation and process automation.
Collaborate with client teams to identify root causes of issues, apply fixes, and reduce recurrence of known ETL failures.
Bachelor's degree (BE/BTech) in quantitative fields like Computer Science, Statistics, Engineering, Mathematics, or Operations Research; ME/MTech preferred.
Hands-on experience with RDMS technologies such as Microsoft SQL Server, Databricks, or PySpark plus scripting skills in VB Script, Perl, or Python.
Strong English communication skills with ability to work across business, data management, and technical teams.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in managing multiple ETL projects and driving technical issue resolution and process automation within global teams.
Capable of leading sub-teams, providing technical mentorship, and ensuring quality control of deliverables.
Able to bridge business and technical teams by quickly understanding business use cases and identifying technical solutions.