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Kafka, Apache Pulsar, RabbitMQ, Amazon Kinesis, Apache Flume, Apache Storm, Apache Spark Streaming, Google Cloud Pub/Sub. OpenShift, Anthos, Google Kubernetes Engine (GKE), Azure Kubernetes Services (AKS), Amazon Elastic Kubernetes Service (EKS), Hashicorp Nomad.
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Execute strategy by setting up, managing, tracking, and optimizing paid digital media campaigns across Paid Social, PPC, Search and programmatic ad channels on multiple platforms (Meta, TikTok, Google/YT, Bing, Pinterest, Reddit, Amazon, etc.
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Hands on experience with Amazon Web Services, Google Cloud Platform, or Azure; namely choosing platform components and assembling application and runtime architecture. We're doing this by leveraging the power of patterns (Anti-Corruption Layering, Strangler fig, Microservices, Event Sourcing, etc.
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Knowledge of business intelligence software (ie Power BI, Tableau, Kibana) and web analytics tools (ie Google Analytics, Google Tag Manager, Looker Studio, BigQuery) Manage Google Analytics implementation, set up events in Google Tag Manager, document tracking requirements for engineering team and verify data layer is firing appropriately.
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At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) 5+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) Utilize programming languages like Scala, Java, Python, SQL and GO and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake.
$9 - $11ExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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At least 3 years of experience in Cloud Native technologies (Amazon Web Services, Microsoft Azure, Google Cloud Platform) 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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One or more of the following certifications: Certified Scrum Master (CSM), Certified Information Systems Security Professional (CISSP), AWS Certified Solutions Architect – Professional, Google Cloud Professional Certification, PMI Project Management Professional (PMP.
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4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake.
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Advanced skills in statistical analysis using Stata, SPSS, R, SAS, or SQL for the purpose of Advanced skills in using data visualization platforms such as advanced Excel visualizations, Tableau, PowerBI, Metabase, Google Data Studio, etc.
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Solution Architect and/or Developer Certification on Oracle Cloud, AWS, Azure or Google Cloud. Knowledge and experience with any of public cloud providers including Oracle, Amazon Web Services (AWS), Azure or Google (GCP) architecture, tools, and cloud methodologies.
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Working knowledge with cloud computing platforms such as AWS, Azure, or Google Cloud. Preferred Qualifications Proficiency in programming languages such as Python, and SQL. Experience with BigQuery, Snowflake, Databricks, Microsoft SQL Server.
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Experience analyzing high volumes of logs, network data (e.g., Netflow, Full Packet Capture), and other attack artifacts in support of incident investigations and in-depth knowledge of architecture, engineering, and operations of at least one enterprise SIEM platform (e.g., Google Chronicle, ArcSight, Splunk,Nitro/McAfee Enterprise Security Manager, QRadar, LogLogic.
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The Leidos Digital Modernization Sector Health IT Division is seeking a Senior GCP Solution Architect with extensive knowledge and expertise in Google Cloud Platform (GCP) technologies and architecture.
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Google Certified: GCP Solutions Architect Professional certification. Experience with infrastructure-as-code (IaC) tools (Deployment Manager, Terraform) and configuration management tools (Ansible, Chef, Puppet.
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Prior experience with paid, earned, and owned media, including tools like Adobe Analytics, Google Analytics, Neustar/Transunion, LiveRamp, M1, and more. Master’s Degree or Ph. D. in Data Science, Operations Research, Psychometrics, Marketing Science, Finance, (Bio)Statistics, Econometrics, Computer Science, Applied Mathematics, or another quantitative field.
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