Real-Time Analytics Pipeline for Enhanced Customer Engagement in Toys & Games

As a growing startup in the dynamic Toys & Games industry, we understand the critical role that effective customer engagement plays in our success. We aim to implement a real-time analytics pipeline to gain deeper insights into customer behavior and preferences. This project will involve setting up an efficient and scalable data pipeline using cutting-edge technologies such as Apache Kafka for event streaming and Spark for real-time processing. Airflow will be used to manage our data workflows, ensuring seamless operations. We also plan to utilize dbt for data transformations and Snowflake for our data warehousing needs, offering a robust environment for data storage and retrieval. Our primary objective is to enhance our ability to engage customers by understanding their interactions with our products and services in real-time. This will enable us to tailor our offerings and marketing strategies to align with user preferences, ultimately driving customer satisfaction and loyalty. We are looking for a skilled data engineer who can help us design and implement this pipeline within a 4-6 week timeframe, ensuring high data quality and reliability. Collaboration is key, as the successful candidate will work closely with our product and marketing teams to ensure the data insights align with our business goals.