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Kafka, Apache Pulsar, RabbitMQ, Amazon Kinesis, Apache Flume, Apache Storm, Apache Spark Streaming, Google Cloud Pub/Sub. OpenShift, Anthos, Google Kubernetes Engine (GKE), Azure Kubernetes Services (AKS), Amazon Elastic Kubernetes Service (EKS), Hashicorp Nomad.
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Excellent knowledge of Google Cloud Platform or Amazon Web Services Bonus if you have experience with: Worked with Ebay, Etsy, or Stripe APIs Mobile app development experience (React Native). Excellent knowledge of Google Cloud Platform or Amazon Web Services Bonus if you have experience with: Worked with Ebay, Etsy, or Stripe APIs Mobile app development experience (React Native.
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Work from home, part time, Amazon, customer service representative, medical professional, remote work at home, drivers, administrative assistant, work from home customer service representative, registered nurse, web developer, assistant manager, pharmacy technician.
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Amazon Web Services (Security Groups, Batch, Lambda, SSH, S3, ECS, EC2, ALB, RDS, IAM, SNS, Fargate, ElastiCache, Redis) Python, Apache Airflow, Apache Spark, PostgreSQL, Presto SQL, Snowflake SQL.
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As a warehouse associate at Floor & Decor, you are the backbone of our retail location. If you are friendly, organized, hard-working and someone who thrives in a warehouse environment, Floor & Decor is the place for you.
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Advanced experience with Amazon AWS or equivalent cloud computing platform, including Lambda, SNS, EC2, ASGs, ElastiCache, DynamoDB, RDS and CodeDeploy. Advanced experience with Google Cloud Platform including BigQuery Omni, Cloud Functions, Dataplex and Composer.
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Working knowledge and experience with data platforms/storage/warehousing (e.g., Microsoft Fabric, Amazon AWS, Google Big Query, Snowflake, Domo, Microsoft Azure, Microsoft PowerAutomate) Our Performance Improvement services include Finance Transformation, Financial Planning & Analysis, Integration & Carve Out Services, Shared Services Optimization, Operations & Supply Chain, Program & Change Management, and Profit Enhancement.
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Knowledge of major cloud platforms (Azure/ Amazon Web Services [AWS]), virtualization, networking devices (e.g., routers and switches), web services (e.g., IIS, Apache Tomcat), network security appliances (e.g., firewalls, VPNs), databases (e.g., Microsoft SQL), and intrusion prevention/ anti-malware software.
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This is a full-time position with on-site work performed at the client’s office located in Washington, D.C. Responsibilities: Work hand-in-hand with our AWS Solutions Architect and Data Warehouse Engineer to transfer existing on-prem TIBCO WebFOCUS application to the AWS Cloud environment.
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Experience in Vulnerability management and threat management tools such as Tenable Nessus, Netsparker, McAfee suite, Palo Alto, Amazon inspector and Cloud Watch etc. Experience in Vulnerability management and threat management tools such as Tenable Nessus, Netsparker, McAfee suite, Palo Alto, Amazon inspector and Cloud Watch etc.
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Working engineering knowledge & awareness of the following Cloud & SDN technologies: Amazon Web Services, Microsoft Azure, CISCO ACI, VmWare NSX. Working engineering knowledge & awareness of the following security technologies: CheckPoint (Firewall, Provider One), CISCO (ASA, FirePower), Palo Alto (Palo Alto Firewall, Panorama), FortiNet (FortiGate, FortiManager), Juniper (Netscreen, SRX, & SPACE), F5 (LTM & AFM.
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Amazon Web Services (Security Groups, Batch, Lambda, S3, ECS, EC2, ALB, RDS, IAM, SNS, Fargate, ElastiCache, Redis) Python, Apache Airflow, Apache Spark, PostgreSQL, Presto SQL, Snowflake SQL, Confluence, JIRA.
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Utilize programming languages such as Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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Our team members are active throughout their day working independently using a voice-controlled system to select full-case dry, or cool in a multi-temperature warehouse environment using powered material handling equipment.
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Experience with cloud-based data warehousing platforms such as Amazon Redshift, Google BigQuery, or Snowflake. Develop and maintain documentation for data warehouse processes, data models, and data lineage to support data governance and compliance requirements.
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amazon warehouse jobs Title: clinical Company: Kelly Services in Bethesda, MD
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