Key Responsibilities:

Talent Sourcing & Recruitment:

• Partner with hiring managers and key stakeholders to understand hiring needs for Data Engineering, Data Analytics, and related technical roles.
• Develop and execute sourcing strategies using various channels (LinkedIn, job boards, networks, referrals, etc.) to attract passive and active candidates.
• Conduct proactive outreach to build a pipeline of qualified candidates for key technical roles (Data Engineers, Data Scientists, Data Analysts, Machine Learning Engineers, etc.).
• Lead the full-cycle recruitment process for technical roles, from job posting to offer acceptance.

Candidate Screening & Evaluation:

• Conduct in-depth interviews to assess technical skills, cultural fit, and alignment with organizational needs.
• Use technical interview frameworks and collaborate with hiring managers to evaluate candidates’ proficiency in relevant tools and technologies.
• Administer technical assessments and coordinate coding challenges for data-related roles.

Collaborate with Stakeholders:

• Build and maintain relationships with hiring managers, team leads, and senior leadership to continuously align on talent requirements and progress.
• Provide regular updates to stakeholders regarding recruitment status, candidate pipelines, and market insights.

Data-Driven Recruitment:

• Utilize recruitment analytics to track key performance metrics such as time-to-hire, cost-per-hire, quality-of-hire, and candidate experience.
• Use data insights to refine sourcing strategies and improve overall recruitment processes.

Employer Branding:

• Promote [Company Name] as an employer of choice for top-tier data engineering and analytics talent.
• Partner with the marketing team to create engaging content and initiatives that highlight the company’s culture and opportunities within the data and tech fields.

Continuous Improvement:

• Stay up-to-date on the latest trends in data engineering, analytics, and technology recruitment.
• Continuously refine and optimize recruitment processes to enhance the candidate experience and hiring efficiency.

 

 

Education and Qualifications :

• A bachelor’s degree or MBA in Human Resources, Business Administration, Computer Science, or a related field is preferred, but not required.
• 5-9 years of experience in talent acquisition or recruitment, with a focus on Data Engineering, Data Analytics, Software Engineering, or related technical domains.
• Strong understanding of the tech stack used in data engineering and analytics
• Proven ability to attract and engage top technical talent in a competitive market.
• Experience in using applicant tracking systems (ATS)
• Strong interpersonal and communication skills, with the ability to build relationships with candidates, hiring managers, and senior leaders.
• Analytical mindset with the ability to leverage data to drive decisions and optimize recruitment strategies.
• Detail-oriented and able to manage multiple priorities in a fast-paced environment.