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AI and Machine Learning, Azure Blobs, Office 365, Dynamic 365, Logic apps, Power apps, MS Flow, Power BI, Sharepoint o GitHub DevOps, CI/CD, workflows, actions and Ansible automations Skills Required : o Cloud solutions, design, architecture and security o Evaluating hardware.
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Implementation, maintenance, and documentation of backup and recovery systems within Azure, AWS, and OCI.Engages in and supports DevOps practices for infrastructure and security management.
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Other: Azure DevOps, Smartsheet, Microsoft Visio, TFS (Team Foundation Server), Octopai. Experience with Azure DevOps, TFS. Frameworks: Amazon Web Services (AWS) & Microsoft Azure cloud services.
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Experience with multiple agile and scrum frameworks (Agile, Scrum, SAFe) and software's (JIRA, Azure DevOps, Rally, Trello, etc.) Experience working with an Agile SDLC tool (Jira, Azure DevOps, Rally, Trello.
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A minimum of 2 years of experience using Agile and continuous deployment in Azure DevOps. A minimum of 1 year of experience in developing integrations between D365 F&O and Dataverse. Experience with other SSIS, Azure Data Factory, Azure Logic Apps preferred.
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Manage private hosted or public cloud desktops in virtual desktop platforms (VDI) including Citrix Virtual Desktop, Hyper-V, and Microsoft Azure. MINIMUM RequirementsEducation·Associate’s degree in Computer Science or a related discipline preferredExperience·At least twelve (12) years’ Microsoft operating systems and desktop hardware experience with increasing responsibilities·Expert knowledge of Microsoft desktop operating systems (Windows 10 and 11) and PC hardware architecture (HP and/or Lenovo preferred)·Expert knowledge of typical desktop applications and application packaging.
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We leverage leading technology stacks like Microsoft Azure, AWS, Google Cloud, Microsoft Power BI, Anaplan, Qlik, Tableau, SAS, Cloudera, Redhat and many others - to match your business goals with optimum technology solutions for all your stakeholders.
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Qualifications & experience:Managed Azure cloud infrastructure, including Databricks for big data and AI/ML in corporate finance. Implemented CI/CD pipelines with Jenkins, Azure DevOps, and GitHub Actions, integrating DevOps for streamlined operations.
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We are looking to hire a permanent placement role for a Mid-Level Machine Learning/Data Scientist Engineer to join our hybrid company in Houston, Tx. Candidates should be interested in building intelligent space systems to modernize satellites' operations.
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2+ years of experience in a Data/ML Engineer role with a degree in Computer Science, Information Systems or another quantitative field or equivalent relevant experience. Experience with AWS services including EC2, S3, Glue, EMR, RDS, Snowflake, Elastic Search, Cassandra and Data pipeline/streaming tools (Airflow, NiFi, Kafka.
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Relevant certifications such as Microsoft Certified: Azure Data Scientist Associate or AWS Certified Machine Learning are advantageous. Experience with cloud computing environments (AWS, Azure, or GCP) and Data/ML platforms (Databricks, Spark.
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Experience in working with data classification and protection, server & endpoint security platforms (e.g. AV, encryption, HIPS), enterprise security event log management, OS/platform security standards, vulnerability management, and data loss prevention.
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Familiarity with cloud architecture (Azure, Entra ID), shared responsibility models, data loss prevention (DLP), and cloud security best practices (DevSecOps, Secure SDLC, etc. Expertise in security concepts like cryptography, identity and access management, logging and monitoring, network/endpoint vulnerability scanning and remediation, pen testing, and data discovery / protection.
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The Principal Data Engineer also manages and coordinates data analytics delivery activities in compliance with data governance processes and data security requirements.
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Microsoft Certified Solutions Developer (MCSD) Contract & Commercial Management (CCM) Certification Program, PMI Agile Certified Practitioner (Project Management Institute-ACP) Experience with document extraction tools, data wrangling tools such as Alteryx, and visualization/BI tools such as Power BI, Tableau or QlikView and others.
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