Data Engineer, People Analytics
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Job Description
Structured overview of role & requirementsAbout This Role
Architect and maintain ETL pipelines and scalable data infrastructure for workforce analytics.
Collaborate with analysts and business stakeholders to ensure data quality and deliver actionable insights.
Manage Airflow and dbt workflows to support reliable, production-grade people analytics data solutions.
Minimum Requirements
Bachelor's degree in Computer Science, Information Systems, or related field, or equivalent experience.
5+ years of experience in data engineering.
Expert-level proficiency in SQL and Python; 2+ years of experience with Airflow and dbt.
Strong expertise in AWS data services and cloud infrastructure; experience with HR data is required.
Ideal Candidate Profile
Experienced in building production-grade, scalable data pipelines and infrastructure for people analytics in enterprise environments.
Able to translate complex business requirements into reliable, automated data solutions that empower HR and People Experience functions.
Comfortable working in hybrid or remote work settings collaborating across technical and business teams.