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Hands on experience of working with continuous integration tools such Jenkins, Circle CI. " Broad hands on experience in AWS Cloud serverless components and ability to build and maintain cloud data processing systems (i.e. ECS, EKS, S3, Lambda, SQS/SNS, PostgreSQL, Dynamo, Sagemaker, Athena, etc.
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This team is responsible for the architecture, engineering and sustainment of the Air Force Cloud Digital Engineering platform currently deployed on AWS Cloud. AWS Cloud Certification with experience as AWS Cloud Engineer.
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B.E. B. Tech M. Tech/ MCA in computer science, artificial intelligence, or a related field 6+ years of IT experience with a min of 3+ years in Data Science (AI/Client) Strong programming skills in Python Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) Hands-on AI/Client modeling experience of complex datasets combined with a strong understanding of the theoretical foundations of AI/Client(Research Oriented.
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Automation-minded: Hands on experience of designing and writing automated tests for backend applications and data flow, using tools such as Postman, REST Assured, Cypress, Ready API etc.
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Net, C#, Qlik, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Kinesis, QuickSight, SageMaker, S3, Databricks, AWS Lake Formation, Snowflake, Python, Qlik, Athena, Data Pipeline, Glue, Star Schema, Data Modeling, Performance Tuning, SQL Individual salaries that are offered to a candidate are determined after consideration of numerous factors including but not limited to the candidate’s qualifications, experience, skills, and geography.
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Job Title: Data Engineer/ Data ArchitectLocation: Corvallis, OR – 5 Days Onsite Role Job Description: At least 8 to 10+ years’ experience in data engineering , AI and ML and Aws/Azure Architect, Design and implement distributed data processing pipelines using Spark, Python, SQL and other tools and languages prevalent in the Big Data/Lakehouse ecosystem.
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2 or more professional certifications (SAFe PM/PO, CISSP, GIAC, CISM, CCSP, AWS Cloud Practitioner, AWS Security) 5+ years of experience working with cloud based or on-prem network security products (WAF, DDoS Mitigation, IPS/IDS, NGFW, VPN, or Proxy.
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6+ years of IT experience with a min of 3+ years in Data Science (AI/Client) Strong programming skills in Python Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) Hands-on AI/Client modeling experience of complex datasets combined with a strong understanding of the theoretical foundations of AI/Client(Research Oriented.
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Solid understanding of agile methodologies and hands on experience in CI/CD, Application Resiliency, Security and deployments in AWS public cloud. Hands-on experience with AWS Glue, AWS Athena, EMR, Lambda, and Step-functions with API Gateway, AWS ECS, AWS EKS, AWS Fargate, Kubernetes, AWS S3, AWS EC2, AWS Lake Formation.
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Demonstrable proficiency with cloud platforms, including GCP and AWS. Familiarity with infrastructure as code (IAC) tools like Terraform. Play a crucial role in supporting applications on Google Cloud Platform (GCP.
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Experience must include one or more of the following: Amazon Web Services Microsoft Azure Cloud 1 Platform 1 Certification Requirements: To Start: Required to have AWS Cloud Practitioner (or Equivalent)Security+CE is required and must be obtained within 120 days of starting Ability to perform at a Senior/SME level with minimal to no assistance from junior level organic staff.
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How you'll make an impact:Cloud Infrastructure Management:Assist in the deployment, configuration, and management of cloud resources on platforms such as AWS, Azure, or Google Cloud.
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1+ years of experience working on cloud infrastructure on Azure and AWS platforms. Preferred Skills & Qualifications:Cloud certifications such as AWS Certified Solutions Architect – Associate, Microsoft Certified: Azure Fundamentals, or Google Cloud Associate Cloud Engineer are a plus.
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2 or more professional certifications (SAFe PM/PO, Security+, CCSP, CISA, CRISC, AWS Cloud Practitioner, CISSP) 1+ years of experience working with cloud based or on-prem network security products (WAF, DDoS Mitigation, IPS/IDS, NGFW, VPN, or Proxy.
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Qualifications: Minimum of 10 years of experience in data architecture, focusing on Databricks and AWS services. Preferred certifications: AWS Certified Solutions Architect, Databricks Certified Data Engineer, or similar certifications.
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hands on aws cloud jobs Title: data architect Company: Futran Solutions in Phenix-city, Alabama
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