
1001 - 5000 employees
Founded 2011
🏥 Healthcare
📦 Logistics
📣 Marketing
Healthcare • Logistics • Marketing
Tiger Analytics is a leading AI and analytics consulting firm that specializes in leveraging data science and machine learning to provide strategic business insights across various industries. They offer services in data strategy, AI engineering, and business intelligence to enable data-driven decision-making and digital transformation for their clients. Tiger Analytics collaborates with top technology partners like Microsoft, Google Cloud, and AWS to deliver cutting-edge solutions. They serve a diverse range of sectors including consumer packaged goods, healthcare, and finance, helping businesses operationalize insights and differentiate with AI and machine learning technologies.
🕒 January 22
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1001 - 5000 employees
Founded 2011
🏥 Healthcare
📦 Logistics
📣 Marketing
Healthcare • Logistics • Marketing
Tiger Analytics is a leading AI and analytics consulting firm that specializes in leveraging data science and machine learning to provide strategic business insights across various industries. They offer services in data strategy, AI engineering, and business intelligence to enable data-driven decision-making and digital transformation for their clients. Tiger Analytics collaborates with top technology partners like Microsoft, Google Cloud, and AWS to deliver cutting-edge solutions. They serve a diverse range of sectors including consumer packaged goods, healthcare, and finance, helping businesses operationalize insights and differentiate with AI and machine learning technologies.
• Responsible for Architecture, Designing and implementing best data practices on the Azure platform.
• Strong proficiency in Databricks. (Must have) • Should have extensively worked on Azure Hub, Azure Device SDK, Azure Device provisioning services, Azure Device twins, Azure Functions, Data bricks, Cosmos DB, Azure Stream analytics. • Knowledgeable in tools used to identify and manage structured and unstructured data. • Must have BI, EDW, along with Data Strategy, Architecture and Governance • Defined and implemented information lifecycle management practices. • Strong background and working knowledge in end-to-end data management principles. • Strong background in developing and utilizing tools that prepare, extract and manipulate data to create connected datasets (data warehousing) that can be utilized for analytics purposes. • Strong communicator at the technical levels • Demonstrated teamwork skills. • Good to have- • Experience in architecting and building Azure IoT platforms/apps with good exposure to containerization and server less architecture.
• Significant career development opportunities exist as the company grows. • Unique opportunity to be part of a small, challenging, and entrepreneurial environment, with a high degree of individual responsibility. • Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.
Apply Now🕒 January 17
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