
11 - 50 employees
Founded 2024
🤖 Artificial Intelligence
🔒 Cybersecurity
🤝 B2B
Artificial Intelligence • Cybersecurity • B2B
Vyusoft, Inc. is a technology services and consulting firm that builds custom software, AI, cloud, and cybersecurity solutions for enterprise clients across industries. The company offers end-to-end digital engineering services including web and mobile app development, DevOps, data analytics, cloud migration and management, AI/ML, IoT, blockchain, and security, as well as IT consulting, HR and payment integration support for startups and established organizations.
🕒 May 18
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11 - 50 employees
Founded 2024
🤖 Artificial Intelligence
🔒 Cybersecurity
🤝 B2B
Artificial Intelligence • Cybersecurity • B2B
Vyusoft, Inc. is a technology services and consulting firm that builds custom software, AI, cloud, and cybersecurity solutions for enterprise clients across industries. The company offers end-to-end digital engineering services including web and mobile app development, DevOps, data analytics, cloud migration and management, AI/ML, IoT, blockchain, and security, as well as IT consulting, HR and payment integration support for startups and established organizations.
• Design, develop, and maintain scalable data pipelines and ETL (Extract, Transform, Load) processes. • Collect, clean, and transform raw data from multiple sources into usable formats for analytics and reporting. • Create and manage data integration workflows using tools such as Apache Spark, Python, SQL, or similar technologies. • Develop and optimize data models and database structures to ensure efficient data storage and retrieval. • Implement data validation and quality assurance procedures to ensure data accuracy and consistency. • Monitor and improve data performance, scalability, and reliability within cloud environments such as AWS, Azure, or GCP.
• Ability to work with stakeholders to assess potential risks. • Ability to analyze existing tools and databases and provide software solution recommendations. • Ability to translate business requirements into nontechnical, lay terms. • High-level experience in methodologies and processes for managing large-scale databases. • Demonstrated experience in handling large data sets and relational databases.
Apply Now🕒 May 16
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