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Tier-1 brand and Pune metro increase applicant density, but seniority and ETL specialization moderate competition.
Medium: ETL and Databricks skills are transferable, though payments domain and SLA experience are advantageous.
High: requires seniority, Databricks/PySpark and RDMS expertise plus client-facing SLA responsibilities.
Manage and ensure timely resolution of ETL failure tickets across multiple client projects to maintain high service standards.
Lead and mentor sub-teams, ensuring deliverables meet client expectations and drive SLA improvements through process innovation and automation.
Collaborate with client teams to identify root causes, apply fixes, minimize issue recurrence, and maintain strong stakeholder relationships through feedback management.
Bachelor's degree (BE/BTech) in quantitative fields such as Computer Science, Statistics, Econometrics, Engineering, Mathematics, or Operations Research; Master's (ME/MTech) preferred.
Hands-on expertise with RDBMS technologies (preferably Microsoft SQL Server, Databricks, or PySpark) and at least one scripting language (VB Script, Perl, Python).
Excellent English communication (oral and written) and quantitative/technical skills.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in resolving ETL issues quickly in a multi-client, multi-industry environment and improving SLA metrics.
Capable of acting as a technical mentor and managing sub-teams with oversight and quality control abilities.
Comfortable navigating between business, data management, and technical teams to identify and implement technical solutions aligned with business use cases.