• Analyze and solve problems at their root, stepping back to understand the broader context Establish, meet and monitor SLAs for support issues in conjunction with the rest of the teams
  • Interface with customers, understand their requirements and deliver complete data solutions
  • Triage many possible courses of action in a high-ambiguity environment, making use of both quantitative analysis and business judgment
  • Address and effectively manage sensitive issues and manage escalations from business teams
  • Build and maintain effective internal relationships, specifically with Engineering, Site Reliability Engineering, Client Support Managers and Ad Operations to help identify, report, and resolve issues quickly
  • Get into the details of the various issues that could occur and troubleshoot the data processing big data jobs, trace requests by analyzing logs, figuring out if the issue is a software issue or data issue.
  • Strong interpersonal skills with a customer success orientation (i.e., patience and calm under the pressure of solving real-time customer issues)
  • Strong written and verbal communication skills. Excellent ability to present complex technical information in a clear and concise manner to a variety of audiences, including non-technical
  • Experience with Big Data technologies such as Kafka.
  • Btech /Bachelors degree in CS/IT or related field