Information Technology Recruiter

About Saarthee :

Saarthee is a Global Strategy, Analytics, Technology and AI consulting company, where our passion for helping others fuels our approach and our products and solutions. We are a onestop shop for all things data and analytics. Unlike other analytics consulting firms that are technology or platform specific, Saarthee’s holistic and tool agnostic approach is unique in the marketplace. Our Consulting Value Chain framework meets our customers where they are in their data journey. Our diverse and global team work with one objective in mind : Our Customers’ Success. At Saarthee, we are passionate about guiding organizations towards insights fueled success. That’s why we call ourselves Saarthee–inspired by the Sanskrit word ‘Saarthi’, which means charioteer, trusted guide, or companion. Cofounded in 2015 by Mrinal Prasad and Shikha Miglani, Saarthee already encompasses all the components of Data Analytics consulting. Saarthee is based out of Philadelphia, USA with office in UK and India

We are seeking a talented Talent Acquisition Executive / Lead. The ideal candidate will be responsible for driving talent acquisition strategies to support our company's growth objectives. You will work closely with the HR department, business leaders, and hiring managers to identify, attract, and hire top talent in the industry.

If you are passionate about building high-performing teams and have a proven track record of sourcing, hiring, and retaining top talent in the data analytics industry and related, we encourage you to apply for this exciting opportunity.

Key Responsibilities :

• Technical Talent Acquisition : Lead the end-to-end recruitment process for roles in Data Engineering, Data Science, and Data Analytics, including software engineers, data scientists, machine learning engineers, and data architects. Utilize your technical expertise to assess candidates' proficiency in programming languages (Python, Java, Scala), data pipelines (ETL, Kafka), cloud platforms (AWS, Azure, GCP), and big data technologies (Hadoop, Spark).
• Technical Screening & Assessment : Design and implement rigorous technical assessment processes, including coding tests, algorithm challenges, and system design interviews, to ensure candidates meet the high technical standards required for our projects.
• Stakeholder Collaboration : Partner with CTO, Engineering Leads, and Data Science teams to understand the specific technical requirements of each role. Translate these needs into effective job descriptions, recruitment strategies, and candidate evaluation criteria.
• Pipeline Development : Build and maintain a robust pipeline of highly qualified candidates by leveraging networks, industry events, online platforms (GitHub, Stack Overflow), and advanced sourcing techniques such as Boolean search, AI-driven talent matching, and targeted outreach.
• Industry Expertise : Stay current with trends in Data Engineering, Data Science, and Analytics, including advancements in AI / ML, data warehousing (Snowflake, Redshift), real-time analytics, and DevOps practices. Use this knowledge to proactively identify and engage with potential candidates who are at the forefront of these fields.
• Diversity & Inclusion in Tech : Implement strategies to ensure diverse and inclusive hiring practices, focusing on underrepresented groups in technology. Develop partnerships with organizations and communities that support diversity in tech.
• Talent Development & Retention : Work with technical leadership to create clear career pathways for data and engineering professionals within the company. Support ongoing training and development initiatives to keep teams updated with the latest technologies and methodologies.

Qualifications :

Soft Skills :