Principal Data Engineer - Tech Lead

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Ed Tech • Technology • Continuing education • legal education • financial education

201 - 500 employees

📚 Education

Description

• Lead the development of a cutting-edge data platform to support next generation learning experience platform powered by Generative AI. • Design and implement a full-scale data platform from robust data pipelines, to combined SQL/NoSQL/Vector DB infrastructure, and with ETL data indexing, and data processing engines. • Motivate and lead data engineering development team. • Communicate with various stakeholders to understand their requirements and translate them into technical solutions. • Collaborate with Quality Engineers to develop data validation strategies. • Identify and troubleshoot issues in the back-end infrastructure and applications. • Optimize applications for maximum speed and scalability.

Requirements

• Bachelor's degree or higher in Computer Science, Engineering, or related field; equivalent experience will be considered. • Proven track record in data engineering roles and experience in leading a team. • Strong foundation in data engineering concepts, including data modeling, database design, ETL processes, and data warehousing. • Experience with Data Management and Data Governance processes and standards. • Exceptional expertise of system design and application architecture for data platforms with hands-on experience with the popular data lake technology stacks. • Programming expertise in Python, C#, and SQL to build and maintain efficient, reusable, and reliable code. • AWS proficiency, ensuring optimized infrastructure deployment and maintenance for high availability and performance. • AWS certification is highly desirable. • Experience with recognized industry patterns, methodologies, and techniques. • Excellent Problem-solving skills with keen attention to detail. • Ability to thrive in a collaborative team environment and effectively communicate complex technical concepts to non-technical stakeholders. • Familiarity with Agile development methodologies.