We're seeking a data engineering expert to help our SME enhance its real-time data processing capabilities. Our subscription-based service requires robust data pipelines to deliver actionable customer insights and improve user retention. The project will leverage cutting-edge technologies like Apache Kafka and Databricks to ensure seamless data flow and real-time analytics.
Our primary users are the marketing, product, and customer success teams who rely on real-time data insights to drive personalized marketing campaigns, product development, and user retention strategies.
Our current data infrastructure fails to provide real-time insights, leading to delayed decision-making and missed opportunities for personalization and retention in our subscription service.
Companies in the Subscription Economy are eager to invest in data-driven solutions that enhance customer engagement and retention, crucial for maintaining competitive advantage and maximizing revenue.
Without solving this issue, we risk falling behind competitors who capitalize on real-time data to enhance their user experiences, ultimately leading to lost revenue and decreased customer loyalty.
Current alternatives involve batch processing data, which delays insights and reduces the effectiveness of marketing and retention strategies compared to competitors using real-time analytics.
Our project’s USP lies in its integration of the latest real-time data technologies and data mesh architecture to deliver unprecedented insights, enabling swift and informed decision-making.
Our go-to-market strategy involves leveraging improved data capabilities to enhance customer experiences, increasing word-of-mouth referrals, and boosting our subscription base through targeted marketing campaigns informed by real-time insights.