Description

You will own personalization support operations, driving technical investigations and ensuring the stability of data-driven services and recommendation systems in production.

This role is on-site.

Responsibilities

• Triage and resolve issues across services, data pipelines, APIs, and recommendation engines.
• Act as a technical escalation point and own incidents through resolution to meet defined SLAs.
• Use SQL and Python to extract, analyze, and validate behavioral and system data.
• Build and maintain support tools, scripts, and dashboards for proactive issue detection.
• Collaborate with engineering, data science, and QA teams to debug fixes and support deployments.

Required Skills

• 5+ years of experience in technical application support, data engineering support, or backend system support.
• Strong proficiency in SQL for deep investigation of logic and event logs.
• Strong proficiency in Python for automation, scripting, and data processing.
• Hands-on experience with Azure and Azure Data Factory.
• Experience with Databricks.
• Understanding of personalization systems, recommendation engines, and customer segmentation logic.
• Knowledge of API-driven architectures and event-based systems.
• Familiarity with incident and problem management processes in ITIL or MSP environments.
• Experience with observability tools such as ServiceNow, PagerDuty, Datadog, Splunk, or Grafana.

Preferred Skills

• Exposure to backend technologies including Java, Spring Boot, or Scala.
• Experience with cloud platforms including AWS or GCP.

Key Skills

Education

Any Graduate