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And using tools, including EC2, S3, ELBs, RDS, VPCs, security groups, Clou dTra il, CloudWatch, or IAM permissions. Experience in working with microservices and containerization, including orchestration, cluster management, and container storage, including Docker, Kubernetes, or Rancher.
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Minimum of S3/R3 proficiency Hold a valid US driver's license with a clean driving record in the past 3 years Top Secret Clearance (Active) Diplomatic Passport Knowledge, Skills, Abilities, and Other Characteristics Ability to use a computer including all common office management tools (e.g., Microsoft Office); Experience with communications and radio use and procedures Prepare written reports and logs to include security survey reports.
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2+ year developing in AWS cloud native or server less approach (ECS, Lambda, IAM, API Gateway, CloudFormation, Code Deploy, Parameter Store, Serets Manager, CloudWatch, S3) 2+ year developing in AWS cloud native or server less approach (ECS, Lambda, IAM, API Gateway, CloudFormation, Code Deploy, Parameter Store, Serets Manager, CloudWatch, S3.
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Data warehousing/lake experience: Manage and operate PB-scale data warehouse or data lake technologies ( AWS Redshift, AWS S3). What it takes to succeed:Strong systems experience: Design, deploy, and operate large-scale distributed systems, including cloud-native streaming architectures ( AWS MSK, Apache Flink.
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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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Experience with NetApp, Quantum, and/or Nimble storage products and cloud storage such as AWS EBS, EFS, S3, S3 IA, Glacier. IIS, Splunk, BMC, Ivanti, SolarWinds, ArcGIS, Backup Exec, HBSS.
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Configure and manage MS SQL and PostgreSQL databases and apply and/or assess database STIGs or SRG. PSI offers full-time, benefits eligible employees a competitive total compensation package that includes paid leave, and options for employer sponsored group medical, dental, vision, short-term and long-term disability, life insurance, AD&D coverage, legal services, identity theft, and accident insurance.
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Experience with AWS cloud computing services (e.g., Sagemaker, S3, Athena, Redshift). At least 4 - 6 years related experience with at least 2 years of experience working among the following functional domains: descriptive or causal quantitative social science research, data reporting and analytics, data visualization, data mining, and/or data quality inspection/cleaning.
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Working knowledge with datastores MongoDB/DynamoDB, PostgreSQL, S3, Redshift, JDBC/ODBC, and Redis. Working knowledge with software platforms and services, such as, Docker, Kubernetes, JMS/SQS, SNS, Kafka, AWS Lambda, NiFi, Airflow, or similar.
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You will be working with Scala, Morphir IR, Go, Python, AWS (Fargate, EMR, Glue, S3), Cassandra, DynamoDB, Snowflake etc., and will have great opportunities to learn and contribute to the success of the platform.
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Infrastructure Management:Automation, Kickstart, Load Balancing, DNS, TCP/IP, SMTP, SNMP, DHCP, LVM, TFTP, Icinga2, Nagios, Observium, Cacti, New Relic, AWS, EC2, RDS, ELB/ALB, S3, EFS, Elasticache, Elasticsearch, Route53.
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2 years of experience (or equivalent training/certification) with AWS Services (S3, IAM, SQS, SNS etc) associated with Snowflake and CICD tools such as GIT, Jenkins, uDeploy, Liquibase. · Coordinate and collaborate with dependent infrastructure and AWS services to implement software integration with services, such as PrivateLink, S3, IAM, SSO, Encryption etc.
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Experience with Cloud Data Warehouse tools such as AWS Glue, AWS Athena, S3, RDS, and Redshift. Experience with Cloud Data Warehouse tools such as AWS Glue, AWS Athena, S3, RDS, and Redshift. Experience with Amazon IAM, AWS Budgets, CloudWatch, CloudTrail, Splunk, and Amazon EC2 with SQL Server Developer.
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Build, deploy, configure, and maintain cloud-based applications running on Windows and Linux operating systems and leveraging cloud services such as EC2, EBS, ELB, S3, and RDS. Provision stable AMIs, perform software installations, troubleshooting and maintenance.
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Expertise in data storage technologies such as relational databases (e.g., PostgreSQL, MySQL), NoSQL databases (e.g., MongoDB, Cassandra), data warehouses (e.g., Snowflake, Redshift), and data lakes (e.g., Amazon S3, Azure Data Lake Storage.
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s3 job in Arlington, VA
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