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Experience deploying and maintaining pipelines (AWS, Docker, Airflow) and in engineering big-data solutions using technologies like Databricks, S3, and Spark. AWS, Docker, Airflow, Databricks.
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Python, SQL, AWS, GCP, Golang, Hadoop, Snowflake, RDBMS, Kakfa, BI Reporting Tools, And Data Science Toolkits. Artificial Intelligence / Machine Learning (Data Bricks, Amazon Sagemaker, Azure ML Studio.
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Experience in using AWS native DevOps tools, including AWS CodePipiline, AWS CodeCommit and AWS Cloud Development Kit (CDK) to build and automate application and infrastructure deployment.
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Preferred) Relevant AI/ML certifications (e.g., Azure Machine Learning Specialty, Google Cloud Professional Machine Learning Engineer, etc.) , cloud platforms (e.g., AWS, Azure, GCP), programming languages (Python, R, etc.
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The Learning Lab Dedicated Aide is responsible for providing educational and behavioral support to students in an atmosphere where students have the opportunity to fulfill their potential for intellectual, emotional, physical, and psychological growth.
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Experience with AWS DevOps for CI/CD pipelines. The Senior AWS Solution Architect will play a pivotal role the cloud migration journey for Federal Health customers, and will design, implement, and optimize cloud-based solutions on the AWS platform, ensuring a scalable, secure, and high-performing infrastructure that aligns with end user research and operational needs.
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Data warehousing tooling and services (Apache Airflow, AWS DMS, Snowflake); Authoring and maintaining IaC with Terraform and using IaC to deploy resources in AWS, Azure, GCP, or any other public cloud providers.
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Utilize programming languages like Java, Python, SQL, Ruby and Go, Container Orchestration services including Docker and Kubernetes, CM tools including Ansible and Terraform, and a variety of AWS tools and services.
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This role will focus on leading the automation and components (Solr, HBase) set up and improvement for Cloudera CDP public cloud and integrate with other AWS services. Ansible, Terraform, Bit Bucket) and experience working cloud solutions (specifically data products on AWS) are necessary.
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As a business development manager for AWS GovCloud (US), you will have exciting opportunities to grow and expand the AWS GovCloud (US) customer and partner-base across US Department of Defense (DoD) and National Security.
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The Lead Data Engineer is responsible for orchestrating, deploying, maintaining and scaling cloud infrastructure targeting big data and platform data management (e.g., data warehouses, data lakes) including data access APIs. Prepares and manipulates data using Hadoop or equivalent.
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Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, 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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At least 8 years of organizational learning, facilitation and training experience working on complex international development programs, preferably in the sectors of agriculture, environment and/or food security.
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CompTIA Security+ Certified Information System Security Processional (CISSP) Certified Information Security Manager (CISM) Certified Ethical Hacker (CEH) AWS Certified Cloud Practitioner (CCP) Microsoft Azure Google Cloud Platform (GCP.
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Experience with big data analytics, machine learning, artificial intelligence, or anomaly detection. Experience with Cloud Enterprise, authorizing cloud systems, and Cloud services, including AWS, Azure, or GCP.
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learning aws jobs Title: devops engineer Company: Pri in Mclean, VA
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