Description

we rely on powerfully insightful data to inform our systems and solutions, and we’re seeking an experienced pipeline-centric data engineer to put it to good use. The ideal candidate will have the expected mathematical and statistical expertise, combined with a rare curiosity and creativity. This person will wear many hats in the role, but much of the focus will be on building out our Python ETL processes and writing superb SQL. Beyond technical prowess, the data engineer will need soft skills for clearly communicating highly complex data trends to organizational leaders. We’re looking for someone willing to jump right in and help the company get the most from its data.

Role and Responsibilities

• Responsibilities: Design, develop, and maintain robust, scalable, and high-performance data pipelines and ETL processes. Collaborate with cross-functional teams to understand data requirements and translate them into technical solutions. Architect and implement data models and schemas to support analytics and reporting needs. Optimize data storage, retrieval, and processing mechanisms for performance and efficiency. Ensure data integrity, consistency, and quality throughout the data lifecycle. Identify opportunities for automation and implement solutions to streamline data workflows. Evaluate and integrate new technologies and tools to enhance the data infrastructure. Provide technical leadership and mentorship to junior members of the data engineering team. Stay updated with industry trends and best practices in data engineering and incorporate them into our processes. Collaborate with data scientists and analysts to support their data needs and enable data-driven decision-making.