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Manage the transformation of large daily batch data volumes in the cloud using Apache Spark, EMR, and Glue, ensuring streamlined processing and cost savings. Experience with at least one major MPP or cloud database technology (Snowflake, Redshift, Big Query.
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Founded in 2011, we have a long history of delivering tech-forward web/cloud, robotic, IoT, and machine learning solutions. Development on LinuxBreadth of Experience (e.g., Full Stack Web experience, Machine Learning expertise, Python mastery, etc.
$120,000 - $150,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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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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6+ experience with coding and scripting (Python, SQL, Java, JavaScript, Golang, Bash, Perl or Ruby) At least 4 years of experience with Cloud Native technologies (Amazon Web Services, Microsoft Azure, Google Cloud Platform.
Part-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI.
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At least 8 years of experience in DevOps Engineering (Internship experience does not apply) Lead a portfolio of diverse technology projects and a team of developers with deep experience in machine learning, distributed microservices, and full stack systems.
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This encompassing domain includes products related to access control monitoring, video surveillance, bank security, alarms, and the overall safety of personnel across our people centers and retail branches.
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As a DevOps Engineer, youll have the opportunity to be on the forefront of driving a major transformation within Capital One. 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.
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Certifications such as AWS Certified Solutions Architect, Microsoft Certified: Azure Solutions Architect, or Google Cloud Certified - Professional Cloud Architect are a plus. In-depth knowledge of cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP.
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Experience in programming and infra-automation tools – Terraform, Ansible, Java, python, etc. Develop cloud data services provisioning automation with integrated capabilities of IAM, network, security policies as code, and observability.
Full-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Understanding languages in the context of various DevSecOps tools and platforms like Docker, Kubernetes, Ansible, Chef, Puppet, Jenkins, GitLab CI, and cloud service providers (AWS, Azure, GCP.
RemoteExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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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+ years of Python API development using frameworks like Flask/Django/Django Rest Framework.
Full-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Proficiency in SQL, DAX, scripting languages such as R and Python, experience with Cloud platforms, especially Azure, and Big Data platforms, particularly Snowflake. Power BI, Snowflake, Snowsight, Python, R, Big Data, Business Intelligence, Cognos, Report Builder, Azure, R, DAX, Microsoft BI.
Full-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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AWS, Glue, Lambda, EMR, Snowflake, RedShift, Python, Scala, Java, Hadoop, Spark, Kafka, Hive, API Handling, API Development,Custom Data pipeline development,Data Migration, Oracle, SQL server, Batch Data Pipelines, Agile.
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Strong programming skills in languages such as Python, Java, or Scala, with experience in data processing frameworks like Apache Spark or Apache Flink. Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform, and services like AWS Glue, Azure Data Factory, or Google Dataflow.
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