5 часов назад
People Analytics Data Engineering Intern (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
People Analytics Data Engineering Intern (AI): Building and extending a cloud data warehouse that unifies HR, recruiting, and performance data with an accent on ELT pipelines, governance, data quality, and privacy-aware AI analytics. Focus on integrating enterprise data sources, resolving data integrity issues, and expanding a semantic data layer for natural-language workforce analysis.
Location: Hybrid; available location is Austin, Texas, United States. Candidates who reach the offer stage may be asked to attend an in-person interview at a office or hub.
Company
operates a global Internet infrastructure and security network that protects and accelerates websites and Internet applications.
What you will do
- Design and implement ELT pipelines that integrate enterprise data sources into a centralized cloud data warehouse.
- Support historical data retention, automated lifecycle management, data governance, and regulatory compliance.
- Investigate and remediate data integrity issues, including calculation discrepancies and inconsistent records.
- Expand the semantic data layer for an internal AI-powered analytics platform while protecting sensitive personal information.
- Collaborate with People Operations, Compensation, Talent Acquisition, and Engineering to translate business requirements into reliable data solutions.
Requirements
- Currently enrolled in a graduate program in Computer Science, Data Engineering, Statistics, or a related discipline.
- Demonstrated proficiency in SQL and an understanding of data modeling principles.
- Strong interest in data governance, information privacy, and responsible AI deployment.
- Excellent attention to detail and the ability to identify and resolve data quality issues methodically.
- Working knowledge of Python and cloud-based data warehouse platforms such as BigQuery is preferred.
Nice to have
- Experience with Python and BigQuery or similar cloud data warehouse platforms.
Culture & Benefits
- Work in a mission-driven technology company focused on building a better Internet.
- Collaborate across data engineering and business functions in a hybrid environment.
- Contribute to projects involving Internet security, privacy, data governance, and AI-enabled decision support.
- supports diversity, inclusion, equal employment opportunity, and reasonable accommodations.
Hiring process
- Applicants progressing to the offer stage may be asked to attend an in-person interview at a office or hub.
- Any offer may be conditioned on authorization to receive technology controlled under U.S. export control laws without sponsorship for an export license.
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