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Deep understanding of cloud computing principles, including virtualization, containerization, microservices, and serverless computing; Risk Management, RHCOS security, container security, Kubernetes security, IAM security, network security, auditing, encryption, secrets management and data protection, securing CI/CD.
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Solid understanding of technical concepts and such as Encryption, Multi-Factor Authentication (MFA), Network Segmentation, Data Loss Prevention, Incident Response, Cloud Security, Network Security and Data Protection.
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As a Capital One Senior Manager Data Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. 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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At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) 5+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL.
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4+ years of data warehousing experience (Redshift or Snowflake) 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) The team tackles problems of massive scale, with a critical data footprint that has bottomline business impact, resiliency & availability requiring the best techniques within Big Data Analytics and Machine Learning, all while providing a superior analyst experience on our tools.
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Senior Manager, Data Engineering (Spark, AWS) At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs.
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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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4+ year experience working on real-time data and streaming applications. Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment.
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Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. At least 2 years of experience in big data technologies. Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
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If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at.
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Strong background in cloud computing and data-Intensive applications and services, with a focus on Google Cloud Platform. Google Associate Cloud Engineer or Data Engineer certification is a plus.
$65,000 - $75,000 a yearFull-timeExpandApply NowActive JobUpdated 23 days ago - UpvoteDownvoteShare Job
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As NFM’s Senior Cloud Engineer, is responsible for any technological duties associated with cloud computing, including design, planning, management, maintenance, and support and will be responsible for designing, building, and managing our cloud-based data infrastructure.
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Proven expertise in Apache Spark, Apache Beam, and Airflow, with a deep understanding of distributed computing and data processing frameworks. Proven experience building enterprise-grade software in a cloud-native environment (GCP or AWS) using cloud services such as GCS/S3, Dataflow/Glue, Data proc/EMR, Cloud Function/Lambda, Big Query/Athena, Big Table/Dynamo.
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As a Senior Lead Engineer in Finance tech you will be responsible for working collaboratively across Finance, Capital One Lines of Business and Enterprise Functions to develop patterns, playbooks and tools to support standards, create and review target data models in support of Finance and Enterprise goals.
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As a Capital One Senior Lead Data Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. Utilize programming languages like SQL, Python and tools like databricks, iceberg, presto, graphql and Cloud based data technologies.
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cloud computing data security jobs Title: security engineer Company: Capital One in Lexington, Massachusetts
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