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Hands on AWS experience in EKS, ECS, AWS Lambda, Terraform, AWS Aurora Postgres, AWS logging and monitoring using Datadog, AWS Security groups, AWS MSK(Kafka.
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Experience with AWS services like S3, EC2, VPC, LAMDA, Amazon manage streaming for Apache Kafka (MSK), B11ROSA (OpenShift). This position is for an AWS Cloud Engineer who will support and complete the tasks necessary to design and implement cloud solutions for DTMB agency services supporting MDHHS. The resource will be pivotal in designing, executing, and managing our cloud projects to ensure scalability, reliability, and security.
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AWS certified welding inspector. ICC certification - as a structural welding inspector. ACI certification - as a concrete construction special inspector. AWS certified welding inspector. ICC certification - as a sprayed applied fireproofing inspector.
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Verder vinden wij het belangrijk dat jij: een HBO- of WO-opleiding in Computer Science, Data Science, Software Engineering of soortgelijk hebt afgerond óf minimaal 1 jaar werkervaring als Data Engineer; Ervaring hebt met het schrijven van ETL in Python en/of SQL; Ervaring hebt met een Cloudplatform zoals AWS, Azure of Google Cloud.
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Utilize programming languages like 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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This role requires expertise in cloud platforms such as Azure and AWS, along with proficiency in tools and technologies including Active Directory (AD), Microsoft 365 (M365), single sign-on (SSO), Okta, Terraform, GitHub, GitHub Actions, Windows, Linux, networking, and IT service management (ITSM.
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Deep understanding of AWS/GCP/OCI cloud services and how to leverage them for compute, storage, and managed services including, but not limited to databases, managed Kubernetes, and Python/Django application services.
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Expert level Knowledge of Cloud platforms such as: AWS, Azure, and related platforms Snowflake, Databricks, etc. Breadth of technical experience and knowledge, with depth in Data Engineering (data exchange, data processing, and data delivery), Data Warehousing, Business Intelligence, and two or more of the following areas: Data Modeling, Meta Data Management, Master Data Management, AWS Solution Architecture.
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Extensive experience or knowledge of cloud-based data platform technologies such as AWS, Microsoft Azure or Google Cloud Computing. In depth knowledge of modern data technologies including Snowflake, RedShift, Azure SQL/Synaspe, Databricks or similar technologies.
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Lead Software Engineer Backend (Python, SQL, ETL, Spark, AWS) At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) 2+ years of experience with AWS, GCP, Azure, or another cloud service.
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Security Specific: Tenable, Shodan, Metasploit, Burp Suite, CrowdStrike, Umbrella, AWS' Security Services. Infrastructure: AWS, Kubernetes, HashiCorp, Terraform, DataDog. Security Specific: Tenable, Shodan, Metasploit, Burp Suite, CrowdStrike, Umbrella, AWS' Security Services.
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Experience with AWS, Microsoft Azure or Google Cloud Platform configuration and administration of security features and services (including identity and access management, networking, firewalls, encryption.
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Ruby on Rails, Kotlin, Javascript/Typescript + React, Redux, Sidekiq, Kafka, React Native, GraphQL, MySQL/PostgreSQL, AWS, Git, Apollo, Redis, ElasticSearch, Docker, Terraform, InfluxDB, Redshift, Jenkins, Nagios, CircleCI, DataDog.
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Strong understanding and troubleshooting skills across WAN technologies (e.g. SDWAN, MPLS) , Public Cloud providers (Azure, AWS, GCP ) and WiFi products and technologies (Cisco, Meraki) Strong understanding and troubleshooting skills across WAN technologies (e.g. SDWAN, MPLS) , Public Cloud providers (Azure, AWS, GCP ) and WiFi products and technologies (Cisco, Meraki.
$120,000 - $155,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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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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