S5 Stratos · United States
Skills: Python, SQL
This is a remote position. --------------------------
At S5, we are on a mission to make Advanced Data Science consumable to Business Users. S5 is a SaaS software provider of AI/ML-powered products which transform planning and decision making capabilities across the digital supply chain for the Retail and CPG industries. To support our aggressive growth, we are actively seeking talent (at multiple levels) to join our team. The Role: S5 Stratos is seeking an experienced Sr. Data Engineer, capable of creating and optimizing a scalable, resilient, and event-driven data pipeline architecture through our cloud-based solutions. The right person will have a proven ability to innovate, work across a variety of APIs and databases, and maintain a comprehensive catalog of all data streams, data mapping, and data integration solutions. The right fit will embrace the challenge and opportunity of an informal, fast-paced startup environment with a flat organizational structure. What You’ll Do:
Develop and automate large scale, high-performance data processing systems (batch and/or streaming) Translate business needs into data models: implement data strategies, build data flows and develop conceptual data models. Implement deployment and infrastructure automation strategies. Build data support for our experimentation efforts, solving problems from statistical test automation to building real-time M/L pipelines Automate manual processes, optimize data delivery, and re-design infrastructure for greater scalability. Promote data modeling standardization, define, and drive adoption of the standards. Build analytics and reporting tools that utilize the data pipeline to provide results and business value to make data-driven decisions. Maintain and improve upon our existing ETL pipeline Perform routine maintenance tasks and upgrades of our server architecture Work with stakeholders to assist with data-related technical issues and support data infrastructure needs. Apply best practices for…
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