Senior Talent Acquisition Specialist/Technical Recruiter
Hyderabad, TS, India
Blend360
Blend360 co-creates value with leading companies through the integration of data, advanced analytics, technology & people. Get in touch with us today.Company Description
Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com
Job Description
We are seeking an experienced and dynamic Senior Talent Acquisition Specialist to lead end-to-end recruitment efforts across key technical functions, including Data Engineering, Data Science, and Business Intelligence. This pivotal role will manage the full hiring lifecycle—from creating and overseeing job requisitions and postings to partnering closely with hiring managers, building strong talent pipelines, screening candidates, and ensuring an exceptional candidate experience.
The ideal candidate will bring deep expertise in the technology landscape and a proven track record in technical recruiting. This individual will thrive in a fast-paced, high-volume environment and demonstrate a passion for finding and attracting top talent.
In addition to recruiting responsibilities, the Senior Talent Acquisition Specialist will play a vital role in employer branding, helping to communicate and amplify what makes our company an outstanding place to work. A strong attention to detail is essential, particularly in maintaining and optimizing the Applicant Tracking System (ATS) to ensure accurate candidate tracking and efficient reporting.
Above all, we are looking for someone who is committed to delivering an exceptional candidate experience—from the first impression to the final interaction—while consistently representing and strengthening the Blend employer brand.
Key Responsibilities
- Lead full-cycle recruitment across technology functions.
- Develop and implement effective recruitment strategies to attract top talent.
- Collaborate with hiring managers to understand their staffing needs and create job descriptions.
- Build and execute sourcing strategies to attract passive and active candidates through job boardes, social media, employee referrals, and networking
- Use data and analytics to track metrics such as time-to fill, source of hire and pipeline health.
- Manage ATS workflows, maintain accurate records.
- Build and maintain relationships with external recruitment agencies and job boards.
- Enhance employer branding initiatives to attract candidates through social media and other marketing channels.
Qualifications
- Required:
- 5+ years of progressive experience in talent acquisition, with a minimum of 3 years specifically focused on hiring Data Engineering, Data Science, and/or Business Intelligence professionals.
- Demonstrated understanding of various data technologies, methodologies (e.g., Big Data, Python, R, SQL, Spark, cloud platforms like AWS/Azure/GCP, machine learning algorithms, data warehousing, ETL tools, BI platforms like Tableau/Power BI).
- Proven ability to develop and execute effective sourcing strategies for highly specialized technical roles.
- Strong analytical skills with the ability to use data to drive recruitment decisions and report on performance.
- Exceptional communication, interpersonal, and negotiation skills.
- Proficiency with Applicant Tracking Systems (ATS).
- Preferred:
- Experience recruiting in a fast-paced, high-growth technology environment.
- Familiarity with employer branding strategies and social media recruitment.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Azure Big Data Business Intelligence Data Warehousing Engineering ETL GCP Machine Learning Pipelines Power BI Python R Spark SQL Tableau
Perks/benefits: Career development Startup environment
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