Senior Engineer, HR Data Analytics
News Corp (company site, opens in a new tab)5+ yrsBengaluruOn-siteDirect career pageEst. 18–30 LPA
Posted on 10 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, scale, and optimize the global HR data warehouse architecture to support enterprise BI, workforce analytics, AI, and machine learning workloads.
- Partner with AI, Data Science, and HR tech teams to develop clean training datasets, feature-ready data models, and governed data pipelines for predictive analytics and LLM/chatbot use cases.
- Build and maintain dashboards, curated datasets, and self-service analytics products for HR and business stakeholders; mentor junior engineers on technical best practices.
Minimum Requirements
- 5+ years in Analytics Engineering, Data Engineering, or Business Intelligence Engineering, preferably with People Analytics or sensitive HR data.
- Expertise in cloud data warehouses such as Google BigQuery or Snowflake with advanced SQL and data modeling skills.
- Experience with dbt, git, automated testing, and orchestration tools like Airflow, Prefect, or Dagster.
- Strong knowledge of data security for sensitive PII including encryption, masking, tokenization, and governance frameworks.
Ideal Candidate Profile
- Technical architect comfortable bridging complex data engineering with AI/ML and advanced analytics in a global HR context.
- Experienced in enterprise-scale, privacy-aware data modeling and governance specifically for HR and employee data.
- Able to manage multi-stakeholder projects with focus on data quality, security, documentation, and business-technical communication.