End-to-End Recruitment Management: Own the full recruitment lifecycle from intake meetings with engineering managers to offer acceptance and seamless onboarding handoffs.
Multi-Channel Sourcing: Go beyond traditional networks by utilizing local and global tech ecosystems, leveraging platforms like Naukri, and GitHub to engage both active and passive engineering specialists.
Technical Screening & Evaluation: Conduct structured technical and behavioral phone screens to assess fundamental coding concepts, architecture experience, cultural alignment, and salary expectations.
Stakeholder Partnership: Coach hiring managers on market compensation trends, talent availability, and interview best practices to optimize decision-making speed.
Pipeline Analytics & Reporting:



Maintain pristine records within the Applicant Tracking System (ATS), tracking key metrics such as time-to-fill, source effectiveness, and conversion rates.
Offer Negotiation & Closing: Manage competitive compensation discussions, present formal offer packages, and navigate counter-offers successfully
An end-to-end technical recruitment lifecycle for Data & Analytics (D&A;) roles differs significantly from standard software engineering hiring. D&A; talent such as Data Engineers, Data Scientists, and Analytics Engineers must be evaluated for programmatic coding skills alongside their ability to structure data frameworks

📌 Technical It Recruiter Telangana
🏢 The Hire Wings
📍 Telangana