Real-time Data Pipeline Implementation for E-commerce Analytics

As a startup specializing in software solutions for e-commerce, we recognize the importance of leveraging real-time data to drive business decisions. Our current data infrastructure is limited by batch processing, resulting in delayed insights that hinder our ability to respond swiftly to market changes. We seek a skilled data engineer to design and implement a real-time data pipeline using state-of-the-art technologies such as Apache Kafka for event streaming, Apache Spark for data processing, and Airflow for orchestration. The solution should integrate with Snowflake or BigQuery for data warehousing, ensuring scalable and efficient data storage and retrieval. Additionally, implementing dbt for data transformations and ensuring observability with tools like Databricks will be crucial. The successful project will empower us to analyze customer interactions, optimize inventory, and predict sales trends accurately and in real time. This will ultimately enhance our competitive edge in the fast-paced e-commerce landscape.