Hiring for MNC Data Analyst Noida Job Qualifications: Experience Aplenty: 5+ years of hands-on experience in applicable software development environments, showcasing your prowess and ability to excel. Educational Symphony: A Bachelor's degree is strongly preferred, demonstrating your commitment to continuous learning and growth. Tech Savvy: Should have demonstrated experience in Cloud environments like AWS, GCP, or Azure. Comparable knowledge of tools
Hiring for MNC Data Analyst Noida Job Qualifications: Experience Aplenty: 5+ years of hands-on experience in applicable software development environments, showcasing your prowess and ability to excel. Educational Symphony: A Bachelor's degree is strongly preferred, demonstrating your commitment to continuous learning and growth. Tech Savvy: Should have demonstrated experience in Cloud environments like AWS, GCP, or Azure. Comparable knowledge of tools
Hiring for MNC Data AnalystNoidaJob Qualifications:Experience Aplenty: 5+ years of hands-on experience in applicable software development environments, showcasing your prowess and ability to excel.Educational Symphony: A Bachelor's degree is strongly preferred, demonstrating your commitment to continuous learning and growth.Tech Savvy: Should have demonstrated experience in Cloud environments like AWS, GCP, or Azure. Comparable knowledge of tools like Azu
Hiring for MNC Data AnalystNoidaJob Qualifications:Experience Aplenty: 5+ years of hands-on experience in applicable software development environments, showcasing your prowess and ability to excel.Educational Symphony: A Bachelor's degree is strongly preferred, demonstrating your commitment to continuous learning and growth.Tech Savvy: Should have demonstrated experience in Cloud environments like AWS, GCP, or Azure. Comparable knowledge of tools like Azu
Data Engineer Summary of the Role:This role will design, develop, and maintain the data processing platform on Azure. The purpose of the data platform is to integrate data across the organization to empower and provide business partners, vendors, and customers with actionable insights. The right candidate will implement best practices using expertise in Azure Data Services to build a scalable, secure, and governed platform.Responsibilities / Accountabiliti
Data Engineer Summary of the Role:This role will design, develop, and maintain the data processing platform on Azure. The purpose of the data platform is to integrate data across the organization to empower and provide business partners, vendors, and customers with actionable insights. The right candidate will implement best practices using expertise in Azure Data Services to build a scalable, secure, and governed platform.Responsibilities / Accountabiliti
Bachelor’s degree in computer science, Statistics, Mathematics, or a related field.Advanced degree preferred.• Minimum of 5 years of experience in data science, with a focus on customer analytics,NLP, and machine learning.• Proficiency in statistical analysis, predictive modeling, NLP techniques, and featureengineering.• Any experience with development of GenAI solutions is preferred.• Strong programming skills in languages such as Python, with experience
Bachelor’s degree in computer science, Statistics, Mathematics, or a related field.Advanced degree preferred.• Minimum of 5 years of experience in data science, with a focus on customer analytics,NLP, and machine learning.• Proficiency in statistical analysis, predictive modeling, NLP techniques, and featureengineering.• Any experience with development of GenAI solutions is preferred.• Strong programming skills in languages such as Python, with experience
The Senior Data Science Engineer is responsible for developing and integrating API around data platform and web application with Parallon Data Engineering department large-scale data ecosystems and business use cases, including data pipeline and integration of structured and unstructured data.The Parallon Data Engineering department serves multiple business units in the organization: From the coding and clinical data perspective and from the Revenue Cycle
The Senior Data Science Engineer is responsible for developing and integrating API around data platform and web application with Parallon Data Engineering department large-scale data ecosystems and business use cases, including data pipeline and integration of structured and unstructured data.The Parallon Data Engineering department serves multiple business units in the organization: From the coding and clinical data perspective and from the Revenue Cycle
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