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More advanced titles require AWS Solutions Architecture and/or AZ104 Azure Administrator Associate. Associate Level Resources having AWS Cloud Partitioner or Azure AZ-900 certification a plus.
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Collaborating amongst team members across several geographies, our Cloud practitioners engineer cloud-based analytics solutions on AWS, Azure, Databricks, GCP, Snowflake, Oracle, Informatica Cloud and a combination of native cloud technologies, including computing at edge and curating data-in-motion.
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The Lead Cloud Security Engineer will lead the Network Operations Team working in collaboration with the Information Assurance (IA)/Cybersecurity/Computer Network Defense (CND) Team to perform network operations functions in support of the security tools used in both the AWS Cloud on-premises environment information and the on-premises environment to include the security information and system event management (SIEM) system.
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Experience with large scale enterprise applications using big data open-source solutions such as Spark, Kafka, Elastic Search / Solr and Hadoop, HBase- Experience or knowledge of basic programming and DB's technologies (SQL, Python, Cassandra, PostgreSQL, AWS Aurora, AWS RDS , MongoDB, Redis, Couchbase, Oracle, MySQL, Teradata.
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Integrating Databricks with other AWS products such as SNS, SQS, and MSK.What we are looking for: Bachelor's or master's degree in computer science, Information Technology, or a related field. Strong technical proficiency to contribute to data engineering task in an AWS and Databricks ecosystem.
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SMX is seeking a Sr. AWS Cloud Engineer to act as the liaison between the client and operations teams for support and escalations. Sr. AWS Cloud Engineer (2197)at SMX(View all jobs) ( Manage AWS services such as IAM, EC2, S3, VPC, Lambda, SNS, Cloudwatch, Redshift, RDS, Config, ECS, EKS, ALB, security groups.
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Hands-on experience with Postgres SQL, RedShift, Redshift spectrum, AWS Glue, Athena, Snowflake utilities, Snow SQL, Snow Pipe, AWS Lambda model techniques using Python. Required Skills:Description:We are looking for a Cloud Data Engineer, who will be responsible to plan, design, develop and maintain the data architecture, data models, data pipelines and standards for various Data Integration & Data Lake and Data Warehouse projects in the AWS Cloud.
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Python, MWAA (Airflow), Spark Optimization, AWS Glue, AWS EC2, Apache Spark. · Develop test maintain and document data pipelines using DBT Spark AWS Glue and Airflow. The ideal candidate will contribute to our Asset & Wealth Management domain leveraging their expertise in Python Apache Spark and various AWS services to drive innovation and excellence.
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CACI is seeking an Amazon Web Services (AWS) Cloud Architect to join our Cloud Operations team supporting the. The AWS Cloud Architect will play a key role in assessing, designing, implementing, and supporting large-scale AWS cloud solutions for different applications, and automating cloud operations and deployment.
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AWS solution Architect or AWS Developer certified. In depth knowledge of Cloud Native Architecture (AWS Experience), Microservice Architecture and related stacks, and container technologies (Docker, Kubernetes, etc.
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Utilize programming languages like Node.js, JavaScript, HTML/CSS, TypeScript, Vue.js and SQL. 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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Strong experience with Kubernetes Container Orchestration Tool,GoLang, Gloo, AWS, Apigee API Gateway,- Experience with REST, SOAP, and GraphQL API support. - Support multiple applications, specifically running Kubernetes/Gloo/AWS/Apigee/ PCF/GCP/Java based systems in an enterprise environment.
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Java, Spring, Spring Boot, AWS, Kafka, Kubernetes, Oracle, Postgres, DynamoDB, MongoDB, RESTful, Airflow, Redis, Hive, Presto etc. Full-stack experience in one or more of the following: Java, Spring, JavaScript, SQL, ReactJS, Redux, Spark, Kafka, Kubernetes, AWS, and the confidence to easily pick up others.
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Advanced knowledge and prior experience in Python, SQL, distributed computing tools such as Databricks, AWS or other Cloud platforms. You will design, implement and deploy high-performing machine learning/AI models and create API endpoints in AWS or Databricks.
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Work with AWS engineers on Kubernetes (EKS), ECS and Docker containers. AWS DevOps and Development. Work with the team to estimate the cost footprint of new AWS resources and services and conduct general forecasts for our AWS architecture.
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aws job Company: Advantis Global
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