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Experience with cloud computing platforms (, AWS, Azure, GCP) and cloud native computingProficiency in programming languages like Python, Java, Scala, C#, SQLExpertise in big data technologies such as Hadoop, Spark, Kafka, and NoSQL databasesKnowledge of data modeling, ETL processes, and data warehousing conceptsExceptional problem-solving abilities and teamwork skills.
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Hands-on knowledge and expertise in building and/or securing technology, including operating systems, databases, virtualization, cloud computing environments, and networks. At least 1 year of experience in cloud computing.
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Frequency of travel is about twice a month, on average - This includes occasional travel for internal events (sales kickoff, technical summit), as well as for cloud security and DevSecOps industry conferences As a Palo Alto Networks Solutions Architect (SA), you will aim to build influential relationships with key technical decision makers at customers.
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Proficiency in Unix/Linux platforms, such as basic shell scripting in an on-premises or Cloud computing setting (e.g., Google Cloud); Ph. D. in Biological Sciences, Genetics, Statistics, Biostatistics, Computational Biology, Bioinformatics, Computer Science, Epidemiology, or equivalent.
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Qualifications and Skills IT professional experience in Azure Cloud with over 5+ years of Azure Development Ability to recreate existing legacy application logic and functionality into Azure Databricks/Data Lake, SQL Database and SQL Datawarehouse environment.
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A&I Data Service help to create data-driven organizations by providing the right solutions in Big Data technologies, Master Data Management, Business Intelligence Analytics by taking advantage of the Cloud based computing and storage.
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In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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Collaborate with different teams in EDM (Data Cloud, Architecture, Data Governance Tech, Data Science) and support strategic initiatives such as data governance, data-as-a-service, and self-service analytics.
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Track record of thought leadership and innovation around Big Data. Solid understanding of Cloud Computing Technologies and related emerging technology (e.g. Amazon Web Services EC2, Elastic MapReduce, Azure, GCP) and considerations for scalable, distributed systems Knowledge of NoSQL platforms (e.g. key-value stores, graph databases, RDF triple stores.
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Experience in executing data science methodologies using common programming languages, such as Python, R, SAS, VBA, or Scala; If your background is in Computer Science and Engineering, Data Analytics, Statistics, Mathematics, Operations Research, Machine Learning, Management Information Systems, or Security Information Systems , learn more about CRA.
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Qualications -Bachelor's degree in Computer Science, Software Engineering, MIS or equivalent combination of education and experience-Experience implementing software applications supporting data lakes, data warehouses and data applications on AWS for large enterprises-Professional with 14+ years of IT experience in Requirement gathering, Design, Development.
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Graduate-level degree in computer science, engineering, or relevant work experience Preferred: Understanding of ML frameworks (sklearn, TensorFlow, PyTorch, etc) Experience working with big data platforms (Hadoop, Redshift, Snowflake, etc) Architecture, design patterns, production scaling/optimization Insurance industry experience Salary range: $132,500-$197,500 Overtime eligible: Exempt Discretionary bonus eligible: Yes Sales bonus eligible: No.
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Healthcare & Life Science sales experience. A Technology Sales Specialist role (what we internally call a, 'Brand Sales Specialist') in IBM's Data & AI brand means accelerating enterprises' success by improving their ability to understand their data.
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Experience with network-attached storage systems (preferably NetApp), Windows Server 2012 or higher, and VMWare ESXi/vCenter management, familiarity with public cloud infrastructure (Amazon Web Services, Google Cloud Platform, Azure) and containers (Docker, Kubnernetes, Singularity), familiarity with graphics processor unit (GPU) usage Cluster Computing and basic knowledge of Deep Learning is preferred.
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Experience with cloud data services such as Redshift, Relational database services (RDS), Snowflake and Databricks. Ability to design cloud and on premise data solutions and provide guidance across storage, big data platform services, Big Data ecosystem, vendor SaaS integrations, RDBMS and NoSQL databases is a plus.
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data science cloud computing pre sales jobs in Jersey City, NJ
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