Real-Time Data Pipeline Implementation for Predictive Analytics Platform

Our startup, focusing on predictive analytics, is at a pivotal stage where the integration of real-time data insights into our platform is essential. We are looking for an experienced data engineer to design and implement a state-of-the-art real-time data pipeline. This pipeline must leverage technologies such as Apache Kafka and Spark for efficient event streaming and real-time processing. The project involves integrating data from various sources into our existing infrastructure, ensuring seamless data flow and high availability. Key deliverables include setting up data ingestion frameworks using Apache Airflow and ensuring data consistency with dbt transformations. The pipeline will also need to be compatible with Snowflake and BigQuery to facilitate extensive data analysis and reporting. This project is mission-critical as it supports our expansion into new markets where real-time decision-making is a competitive necessity.