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Hands-on expertise building, deploying, and managing machine learning models on cloud platforms like Google Cloud (BigQuery, Vertex AI), AWS (SageMaker, Lambda), or Azure (Machine Learning Studio.
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In-depth knowledge and Hands on experience as Solution Architect in Engineering Digital design tools & applications (CAD,CAE, PLM, Cloud Computing, Model Based Systems Engineering, Design for Manufacturing.
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Technically hands on experience with app development, database design, integration, and collaborations Azure Solution Architect Expert certifications GitHub DevOps, CI/CD, workflows, actions and Ansible automation Consolidate the companys various DevOps platforms to GitHub. Architect the company GitHub Enterprise organization structure, setting up teams.
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Nice to have: Hands-on experience with some of the data analytics products such as Spark, Postgres, MySQL, Oracle Exadata, Teradata, Netezza, Greenplum, Amazon S3, Redshift, Athena, Glue, Glacier, Azure Data Lake Storage (ADLS), Google Cloud Storage (GCS), Delta Lake, Data Lakes, Google BigQuery, Azure Synapse, Snowflake, Apache Hudi, Apache Iceberg.
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Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world’s toughest problems. More than 9,000 organizations worldwide — including Comcast, Condé Nast, and over 50% of the Fortune 500 — rely on the Databricks Lakehouse Platform to unify their data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe.
$150,300 - $266,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Hands-on experience working with Source Code repositories and CI/CD pipeline solutions such as Team Foundation Server/Azure DevOps, Bitbucket, and GitHub. This role offers the opportunity to collaborate with talented teams and make a meaningful impact on government applications and infrastructure.
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Hands on experience in deployment and management of routing, switching, wireless, and security appliance technologies using vendors such as Cisco, Palo Alto Networks, and Meraki. The Client Technology Manager (CTM) is a high impact hands-on leadership role, responsible for delivering our IT managed services to a portfolio of client accounts with the support of a dedicated technical team.
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In-depth understanding of data management (e.g. permissions, recovery, security and monitoring) Knowledge of software development and user interface web applications Hands on experience with SQL Familiarity with Agile frameworks and regression testing is a plus Familiarity working with.
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Hands on experience in the following technologies: LAN/WAN networks, protocols, on-prem, cloud, SaaS security. Hands on experience analyzing network security elements, overall network security architectural designs to ensure secure and operational cost effectiveness.
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Hands-on experience with leading network platforms like Arista, Cisco, and Juniper. Hands-on experience: The candidate will need to work with various network and security solutions, including traditional firewalls, NSX components, and cloud workloads (VMs, Kubernetes, bare metal.
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5+ years of knowledge and technical hands-on experience managing/deploying cloud capabilities with one or more cloud environments (AWS, Azure, GCP, OCI) Hands-on experience with Prisma Cloud for cloud governance, CI/CD pipeline integration, automated remediation, and runtime protection.
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Get hands on testing new of features solo or with a squad of peer QA and/or developers to make sure the feature is tip top prior to shipping. Experience with Azure DevOps [Boards] or similar bug tracking tool.
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You will be hands on in vulnerability management, EDR using Crowdstrike and tool implementation. They are looking for someone with a strong management background coupled with the ability to be hands on.
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Hands-on experience with big data technologies such as Hadoop, Spark, or Kafka. Experience with cloud-based data platforms like AWS, Azure, or Google Cloud. As a Data Engineer, you will have the opportunity to make a significant impact on our data-driven initiatives and contribute to cutting-edge projects that shape the future of our industry.
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5+ years of pre-sales engineering experience in the software/technology sector; Data Security experience desired Hands on/practitioner experience desired Early stage startup experience desired.
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