Data Engineer

Company Description

DraconX specializes in creating intelligent, scalable digital solutions that drive growth and innovation for startups and enterprises. As pioneers in AI business automation and SaaS platforms, we excel in building MVPs, custom software, and automation systems that simplify operations and enhance decision-making. Leveraging expertise in AI, data analytics, and cloud technologies, we deliver tailored solutions to streamline workflows and deliver real-time insights. Our team works collaboratively with clients to transform visionary concepts into future-ready, data-driven products and services. At DraconX, we aim to push technological boundaries, providing secure, agile, and impactful solutions for the dynamic digital landscape.

Role Description

This is a full-time and remote role for a Data Engineer at DraconX. The Data Engineer will be responsible for designing, implementing, and optimizing data systems to support analytics and business intelligence needs. Day-to-day tasks include developing and managing ETL pipelines, maintaining data warehouses, modeling and transforming data, and collaborating with cross-functional teams to ensure high-quality data delivery and accessibility. The Data Engineer will play a key role in making data actionable through scalable, automated systems.

Qualifications

• Proficiency in Data Engineering, Data Modeling, and designing scalable data architectures
• Experience with "Extract, Transform, Load (ETL)" processes and tools
• Strong knowledge of Data Warehousing concepts and technologies
• Familiarity with Data Analytics and turning raw data into actionable insights
• Problem-solving skills, attention to detail, and the ability to work independently in remote settings
• Bachelor’s degree in Computer Science, Engineering, or a related field
• Experience with cloud data platforms (e.G., AWS, Azure, Google Cloud) is a plus