Design and refine deduplication logic for complex scenarios (e.g., parent-child, multi-segment).
Use SQL and Python to automate deduplication and reporting processes.
Integrate AI tools (Gemini, Google AI Studio, Perplexity, Glean) for predictive duplicate detection
Build and maintain real-time dashboards for deduplication metrics and business impact.
Collaborate with Engineering and Systems teams to enhance deduplication pipelines.
Document best practices and lead training sessions for Sales and Operations.

🎯 Requirements

Proactive problem-solving: Taking initiative to improve data quality.
Collaboration: Working closely with stakeholders across teams.
Accountability: Owning the accuracy and integrity of data.
Continuous improvement: Seeking ways to optimize deduplication strategies.
Customer-centric mindset: Understanding how data quality impacts sales performance.

🎁 Benefits

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