Principal Data Engineer

October 21

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Authentica Solutions

Education β€’ Special Education β€’ Data an AI β€’ Modern Data Estate for Education β€’ Exceptional Learning

11 - 50

Description

β€’ Lead engineering organization with primary responsibility over data platform. β€’ Shape next iteration of data platform. β€’ Guide existing engineering team in designing, developing, and maintaining Education Intelligence Platform. β€’ Ensure scalability, reliability, and performance of platform. β€’ Construct, manage, and enhance fault-tolerant data infrastructure. β€’ Collaborate with engineering and product teams to execute product goals. β€’ Develop and manage scalable data pipelines handling terabytes of data.

Requirements

β€’ Minimum of 10 years hands-on experience with Python and related data libraries (e.g. Pandas, Data Frames) β€’ Practical expertise in ETL/ELT technologies and methodologies. β€’ Minimum of 3 years hands-on experience using Databricks β€’ Proven experience in data wrangling and cleaning across structured, semi-structured, and unstructured data formats. β€’ Solid design and development background in modern technologies such as API management, REST/API integration, Containers, and Micro services. β€’ Experience in designing or working with data warehouses, including an understanding of associated data flows. β€’ Exceptional communication skills, both written and verbal. English fluency is required to effectively communicate with our clients and other key stakeholders both internal and external. β€’ Familiarity or experience with orchestration tools. β€’ Knowledge or hands-on experience with streaming platforms and real-time data pipeline systems such as Apache Kafka, Azure Event Hubs, and similar platforms. β€’ Education Sector experience.

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