Real-Time Data Pipeline Implementation for Enhanced Trading Insights

As a rapidly growing player in the Cryptocurrency & DeFi space, we are committed to providing our users with the most accurate and timely trading insights. We are seeking a data engineering expert to design and implement a real-time data pipeline using technologies such as Apache Kafka, Spark, and Airflow. The goal is to capture, process, and analyze high-frequency trading data across various decentralized exchanges, seamlessly integrating with our existing platforms like Snowflake and Databricks. This project will also involve setting up a data observability framework to ensure data quality and reliability. The resulting insights will enhance our machine learning models' performance, driving more informed trading strategies and increasing user retention. Our timeline for this project is 8-12 weeks, with a focus on scalable architecture and efficient data processing to handle large volumes of data at speed.