Real-Time Workforce Analytics Platform for Human Resources Optimization

As a scale-up company in the Human Resources industry, we are experiencing exponential growth, which necessitates a more sophisticated approach to managing our workforce data. We are seeking a skilled data engineering expert to design and implement a real-time analytics platform. The project involves creating a data pipeline using Apache Kafka for event streaming, integrating it with Snowflake or BigQuery for scalable storage and querying. Furthermore, we aim to implement data transformation workflows using dbt, scheduled by Apache Airflow, and leverage Spark for complex data processing tasks. The platform will feature MLOps capabilities to support machine learning models for predictive analytics. The goal is to provide HR managers with real-time dashboards that display key metrics such as employee performance, attrition rates, and recruitment efficiency, thereby enabling data-driven strategic decisions. The successful implementation of this project will significantly improve our HR processes, leading to optimized resource allocation and enhanced employee satisfaction.