Data Engineer, People Analytics
Zoom · India
- Hybrid
- Full-time
- $130,000 / year
- India
Job highlights
- Engineer data infrastructure for People Analytics.
- Design scalable ETL pipelines and data models.
- Ensure data quality across HR systems.
- Transform people data into actionable insights.
- Collaborate with IT and HR teams.
About the role
About The Role
Zoom is seeking an experienced Data Engineer to join our People Analytics team within the IT department. In this role, you will architect and maintain robust data infrastructure that powers analytics for our People Experience (PX) organization. You'll design scalable ETL pipelines, build optimized data models, and ensure data quality across multiple HR systems. Transforming raw people data into reliable, analytics-ready datasets that drive strategic workforce decisions.About The Team
Zoom's Information Technology team is dedicated to delivering customer happiness, enhancing business efficiency, and fostering agility through innovation, data insights, and automation. Our impact is evident in seamless user experiences, streamlining processes, and supporting Zoom's growth in communication and collaboration. We deliver data infrastructure and analytics for Zoom's People Experience organization. Our team collaborates across IT and HR to build reliable, scalable solutions. We exist to turn people data into actionable insights that drive strategic workforce decisions.What We’re Looking For
- Bachelor's degree in Computer Science, Information Systems, or related field, or equivalent practical experience.
- 5+ years of experience in data engineering roles.
- Proficiency in SQL and Python for data manipulation and analysis.
- 2+ years of hands-on experience with Airflow for workflow orchestration.
- 2+ years of hands-on experience with dbt for data transformation.
- Expertise in AWS data services and cloud infrastructure.
- Experience working with Workday or similar HR systems is advantageous.
- Knowledge of data visualization tools such as Tableau or Power BI is advantageous.
Ways of Working
Our structured hybrid approach is centered around our offices and remote work environments. The work style of each role, Hybrid, Remote, or In-Person is indicated in the job description/posting.Benefits
As part of our award-winning workplace culture and commitment to delivering happiness, our benefits program offers a variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health; support work-life balance; and contribute to their community in meaningful ways. Click Learn for more information.About Us
Zoomies help people stay connected so they can get more done together. We set out to build the best collaboration platform for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars. We’re problem-solvers, working at a fast pace to design solutions with our customers and users in mind. Find room to grow with opportunities to stretch your skills and advance your career in a collaborative, growth-focused environment.Our Commitment
At Zoom, we believe great work happens when people feel supported and empowered. We’re committed to fair hiring practices that ensure every candidate is evaluated based on skills, experience, and potential. If you require an accommodation during the hiring process, let us know—we’re here to support you at every step. If you need assistance navigating the interview process due to a medical disability, please submit an Accommodations Request Form and someone from our team will reach out soon. This form is solely for applicants who require an accommodation due to a qualifying medical disability. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed.Key skills/competency
Data Engineering, People Analytics, ETL, Data Modeling, SQL, Python, Airflow, dbt, AWS, HR SystemsSkills & topics
- Data Engineer
- People Analytics
- ETL
- Data Modeling
- SQL
- Python
- Airflow
- dbt
- AWS
- HR Systems
- Zoom
- IT
- Data Infrastructure
- Workforce Decisions
How to get hired
- Tailor your resume: Highlight your experience with SQL, Python, Airflow, dbt, and AWS, especially as it relates to HR data.
- Showcase your skills: Quantify your achievements in previous data engineering roles, focusing on impact and scalability.
- Prepare for technical questions: Be ready to discuss your experience with ETL processes, data modeling, and cloud-based data services.
- Demonstrate cultural fit: Research Zoom's values and express how your collaborative and problem-solving approach aligns with their culture.
Technical preparation
Practice SQL for complex queries.,Build Python scripts for data manipulation.,Orchestrate workflows using Airflow.,Transform data with dbt models.
Behavioral questions
Describe a complex data challenge you solved.,How do you ensure data quality and integrity?,How do you collaborate with non-technical stakeholders?,Tell me about a time you improved a process.
Frequently asked questions
- What are the key technical skills required for the Data Engineer, People Analytics role at Zoom?
- The Data Engineer, People Analytics role at Zoom requires strong proficiency in SQL and Python for data manipulation. You'll also need hands-on experience with Airflow for workflow orchestration and dbt for data transformation. Expertise in AWS data services and cloud infrastructure is essential. Experience with HR systems like Workday and data visualization tools like Tableau or Power BI is advantageous.
- What kind of experience is most valued for the Data Engineer, People Analytics position at Zoom?
- Zoom highly values at least 5 years of experience in data engineering roles. Specifically, they look for candidates with at least 2 years of experience with Airflow and dbt. Experience working with HR systems such as Workday is also considered a strong plus.
- How does Zoom approach work arrangements for roles like Data Engineer, People Analytics?
- Zoom utilizes a structured hybrid approach, which combines office-based and remote work. The specific work arrangement (Hybrid, Remote, or In-Person) for each role, including the Data Engineer, People Analytics position, will be indicated in the job posting.
- What is the impact of the Data Engineer, People Analytics role on Zoom's People Experience organization?
- This role is crucial for architecting and maintaining the data infrastructure that powers the People Experience (PX) organization's analytics. By transforming raw people data into reliable datasets, the Data Engineer directly contributes to driving strategic workforce decisions and enhancing business efficiency through data insights.
- What educational background does Zoom prefer for their Data Engineers?
- Zoom typically seeks candidates with a Bachelor's degree in Computer Science, Information Systems, or a related field. However, they also value equivalent practical experience, meaning extensive hands-on experience in data engineering can be considered in lieu of a formal degree.