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We are seeking a Senior AWS Cloud Engineer to join our CGI team in Sacramento, CA! Senior AWS Cloud Engineer. AWS DevOps Engineer certification, AWS SysOps Administrator Certification or equivalent AWS Cloud Engineering/Architecture experience.
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Master's degree in a technical field (e.g. computer science, math, engineering Understanding of big data and real time streaming analytics processing architecture and ecosystems Experience with data analysis and data visualization tools Software development experience in relevant programming languages (i.e. Java, Python, Scala, Node.js) Relevant technology or platform certification (AWS, Microsoft, etc.
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Keywords: Sr Capture Manager, Business development, Program Manager, Leadership, Machine Learning, win, capture, proposals, Virginia IC, Intel Community, Intelligence Community, growth, cyber, developer, development, architecture, framework, Java Developer, Java Development, Software engineer, HPC, high performance computing, software tester, system integration engineer, systems engineer.
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C#, developer, devops, sde, sdet, software development engineer. At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Lead Software Engineer (JavaScript, React.
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As a Sr Principal Software Engineer within the Identity Engineering organization, you will be responsible for: identifying, or introducing best practices within the organization; setting technical, and architectural direction across the organization; helping squads, and individuals execute on that direction; and providing subject matter expertise to help accelerate project delivery.
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Familiarity with at least one of the following cloud providers: Amazon Web Services (AWS), Google Cloud Compute (GCP), or Microsoft Azure. Bachelor's degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study.
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Identity Engineering delivers Consumer Identity and Access Management (CIAM) capabilities across The Walt Disney Company (TWDC) including but not limited to: Disney+, ESPN, Hulu, Parks, and Cruises.
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Familiarity with Amazon Web Services (AWS), Terraform, and infrastructure as code (IaC) best practices. Discover, define, and refine best practices for the design, development, testing, deployment, and support of stateful microservices and lambdas in a multi-region cloud environment.
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You, and the engineering organization you will be part of, will: advocate, and promote agile practices; encourage collaboration, and teamwork; provide expert guidance on object-oriented programming (OOP), functional programming (FP), and Continuous Integration and Deployment (CI/CD); and be committed to continuous learning and improvement.
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Identity Engineering squads build and run high-traffic and globally replicated systems which form an integral and visible part of every user's journey on Disney sites and applications. You will do this in collaboration with your peers in the Identity Engineering architecture group, and by partnering with engineering and product leaders throughout the organization.
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You will contribute to, and be part of an engaging, dynamic, and inclusive engineering organization. Provide guidance to engineering leaders and their teams to help them improve their technical ability and build their understanding of the products and platform that we are responsible for.
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Familiarity with Databricks and Apache Airflow products. Reach & Scale: The products and platforms this group builds and operates delight millions of consumers every minute of every day – from Disney+ and Hulu, to ABC News and Entertainment, to ESPN and ESPN+, and much more.
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Familiarity with at least one of the following Java Virtual Machine (JVM) languages: Java, Scala, or Kotlin. Familiarity with at least one of the following: Spark, Hive, or Presto. Familiarity with the Scala programming language and the Python programming language when applied to Spark and machine learning.
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Collaborate with data engineering, business analysts, and development teams to design, develop, test, and maintain robust and scalable data pipelines from Workday to AWS Redshift.
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Professional Experience: At least 5 years of experience in data engineering, with a strong focus on data integration and pipeline construction in cloud environments and enterprise data warehouses like Snowflake.
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software engineering developer aws cloud data engineer senior jobs Title: engineer Company: Simbe Robotics Inc
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