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Develop & implement cloud automation and orchestration using tools auch as Azure resource manager, Azure DevOps etc. Familiarity with Azure ML Services and Azure DevOps. Strong data analytics skills for model training.
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Data bases (SQL, NoSQL) and Data Platforms (Databricks, Snowflake) Strong skills with Database management, Data modeling and design DevOps and Security CI/CD, Serverless compute, OAuth, SSO, MFA etc.
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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. 2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud.
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3-5 years of strong hands-on expertise on Cloud (AWS/Azure/GCP) with strong experience in working with modern data and analytics frameworks, big data, and DevOps techniques, and is proficient with programming languages (like Python, Java, Scala.
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Experience working with build and deploy tools Azure DevOps, GitHub, Jenkins. Expertise with coding and implementing data pipelines in cloud-based data infrastructure in batch and streaming ETL using Data Factory, Spark, Python, Scala on Databricks.
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Experience with: Service Reliability Engineering in any capacity Linux systems administration Automated CI servers, especially TeamCity and/or GitLab Automation programming/scripting in any of: bash, Ruby , Python, Go, Java , Scala, Rust , C.
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REQUIREMENTS: Bachelor s degree, or foreign equivalent, in Computer Science, Engineering, or related technical field, and five (5) years of experience in commercial software development using Big Data Stack components, including Scala or Python on Hadoop or Spark; and three (3) years of experience utilizing SQL, Databricks, PySpark, Spark-SQL, Kafka, Hive, Scoop, Impala, Azure Blob, Azure Data Factory, Azure Data Pipeline, Azure Event Grid, and AWS S3.
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Expertise and more than 3 years of experience in source code version control and software repository management tools such as GitLab, GitHub, Azure DevOps, JFrog, and Nexus etc. Good knowledge and hands-on expertise in Azure, Databricks, or other cloud-based software development practices.
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Application experience of CI/CD implementations using git and a common CI/CD stack (e.g., Jenkins, CircleCI, GitLab, Azure DevOps) Experience in an open-source web framework preferably implemented in JS, TypeScript, Python, Java, Scala, or similar.
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Knowledge of one or more common web backend language: e.g., Python, Scala, Java, Javascript (Node.js) Developing and deploying applications in a cloud environment like Google Cloud (preferred), AWS, Azure.
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Utilize programming languages like Python, Java, SQL, Scala, Open Source RDBMS and NoSQL databases, Airflow, Databricks, DevOps and a variety of AWS tools and services. 2+ years of experience with AWS, GCP, Azure, or another cloud service.
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5+ years of experience in at least one of the following: Python, Java, Scala. 5+ years of experience in at least one of the following: Python, Java, Scala. This platform transformation with an emphasis on standardization and agility via self-service will enable us to test, launch and learn at a rapid pace.
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At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who love to solve real problems and meet real customer needs. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC.
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One of our direct client is urgently looking for an Azure DevOps Engineer @ Sunnyvale CA. TITLE: Azure DevOps Engineer. Lead the Migration of Entire Legacy Catalog Services to Cutting Edge next generation Reactive Microsystems using Akka-Http,Akka Streams, which are deployed in Kubernetes Ecosystem in Public Cloud like Google GCP and Microsoft Azure.
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As an Analytics Engineering Director you will work closely with the Analytics Engineering, Data Science, DevOps, QA and Product Management teams to design, build, deploy Data Pipelines, Analytics components, and Applications.
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