Staff Data Engineer

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November 26

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Hypersonix Inc.

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Artificial Intelligence • eCommerce • Retail

Hypersonix Inc. is a leading provider of AI-driven analytics and automation solutions specifically designed for retail and eCommerce businesses. Through their groundbreaking platform, ProfitGPT, Hypersonix empowers merchandising, marketing, and forecasting teams to increase market share and optimize product margins. Their AI solutions, including Competitor AI, Pricing AI, Promo AI, and Inventory AI, provide data-driven insights that help retailers improve pricing strategies, manage promotions, forecast demand, and automate inventory management. Hypersonix's innovative technology is trusted globally, offering up to 19% profit lift and a 7X return on investment. Their AI-driven approach enables retailers to make more informed decisions and stay competitive in a rapidly changing marketplace.

51 - 200 employees

🤖 Artificial Intelligence

🛍️ eCommerce

🛒 Retail

📋 Description

• Create and maintain optimal data pipeline architecture • Assemble large, complex data sets that meet functional/non-functional business requirements • Write complex queries in optimized way • Identify, design, and implement internal process improvements • Build the infrastructure required for optimal extraction, transformation, and loading of data • Run ad-hoc analysis utilizing the data pipeline to provide actionable insights • Work with stakeholders including Executive, Product, Data, and Design teams • Keep our data separated and secure across national boundaries • Collaborate with analytics and data scientist team members.

🎯 Requirements

• 8+ years of experience in a Data Engineer role • Advanced working SQL knowledge and experience with relational databases • Experience building and optimizing ‘big data’ data pipelines, architectures, and data sets • Strong analytic skills related to working with unstructured datasets • Build processes supporting data transformation, data structures, metadata, dependency, and workload management • A successful history of manipulating, processing, and extracting value from large disconnected datasets • Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores • Experience supporting and working with cross-functional teams in a dynamic environment • Graduate degree in Computer Science, Information Technology, or completed MCA.