Data Engineer-Data Platforms
As a Data Engineer specializing in Data Platforms, you will develop applications on Big Data technologies, including API development. This role requires a strong foundation in traditional Application Development, along with knowledge of Analytics libraries, open-source Natural Language Processing, and statistical and big data computing libraries. Your primary responsibilities will include: Design and Develop Applications: Develop applications on Big Data technologies, including API development, utilizing expertise in traditional Application Development and knowledge of Analytics libraries. Write and Debug Code: Write and debug complex code, applying technical abilities to ensure high-quality solutions. Apply Technical Expertise: Apply knowledge of open-source Natural Language Processing, and statistical and big data computing libraries to deliver robust data platforms. Implement Big Data Technologies: Implement Big Data technologies to support the development of data-driven solutions. Deliver High-Quality Solutions: Deliver high-quality solutions, leveraging exceptional technical abilities to meet business needs.
Required education
Bachelor's Degree
Preferred education
Master's Degree
Required technical and professional expertise
Traditional Application Development: Exposure to developing applications using traditional methods, with a strong foundation in software development principles. Big Data Technologies: Experience working with Big Data technologies, including API development and data processing frameworks. Analytics Libraries: Exposure to Analytics libraries, with knowledge of how to integrate them into data-driven solutions. Open-Source Natural Language Processing: Experience working with open-source Natural Language Processing tools and techniques. Statistical and Big Data Computing: Exposure to statistical and big data computing libraries, with an understanding of how to apply them to real-world problems.
Preferred technical and professional experience
Advanced Analytics Knowledge: Exposure to machine learning algorithms, predictive modeling, and data visualization techniques to further enhance data-driven solutions. Cloud-Based Big Data: Experience working with cloud-based Big Data technologies, including cloud storage and cloud computing platforms. NoSQL Database Expertise: Exposure to NoSQL databases, with knowledge of how to design and implement scalable data storage solutions.
Years of Experience:
8 - 9
