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- 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 experienceBachelor’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
- 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 toolsHiring 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
- 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 /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 /
- Proficiency with ETL tools (e.g., SSIS, GCP Dataflow).·Expertise in GCP (BigTable, Cloud Run, Cloud Functions)·Experience with real-time data streaming (e.g., Kafka, Pub/Sub).·Distributed data frameworks (e.g., Hadoop, Spark).·Programming skills in Python, JavaScript.experience10Proficiency with ETL tools (e.g., SSIS, GCP Dataflow).·Expertise in GCP (BigTable, Cloud Run, Cloud Functions)·Experience with real-time data streaming (e.g., Kafka, Pub/Sub).·Distributed data frameworks (e.g., Hadoop, Spark).·Programming skills in Python, JavaScript.experience10
- GCP Data Engineer with Postgresexperience5GCP Data Engineer with Postgresexperience5
- 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 CycleThe 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
- Data Engineerexperience15Data Engineerexperience15
- Essential Technical SkillsStrong Python, Pyspark, Synapse, DataBricks or similar. SQL Data Pipelines, Big Data, Data architecturesCI/CD and associated toolsTest automation, PyTest Desirable skills and experience Experience in Azure/ Cloud, App services, Azure functions, Cosmos DB and SynapseSome understanding of operations or trading in the commodities context, in particular Oil, Gas, Shipping and related activitiesJenkins, Octopus, GitDevOps;Essential Technical SkillsStrong Python, Pyspark, Synapse, DataBricks or similar. SQL Data Pipelines, Big Data, Data architecturesCI/CD and associated toolsTest automation, PyTest Desirable skills and experience Experience in Azure/ Cloud, App services, Azure functions, Cosmos DB and SynapseSome understanding of operations or trading in the commodities context, in particular Oil, Gas, Shipping and related activitiesJenkins, Octopus, GitDevOps;
