Real-time Customer Insights Pipeline for Enhanced E-commerce Experience

As a dynamic e-commerce startup, we aim to revolutionize the online shopping experience by offering hyper-personalized services. To achieve this, we need a sophisticated data engineering solution capable of delivering real-time insights into customer behavior. The project involves setting up a data pipeline that integrates various data sources, processes large volumes of data in real-time using Apache Kafka, and employs Spark for complex data transformations. The processed data will then be stored in Snowflake for advanced analytics. Additionally, implementing data observability and event streaming will ensure continuous monitoring and accuracy of data flows. The ideal candidate should have expertise in building scalable data architectures and be proficient in technologies such as dbt, BigQuery, and Databricks to facilitate seamless data operations. The project is high in urgency and is projected to be completed within 4-6 weeks, demanding a proactive and innovative approach.