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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. 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.
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At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud.
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Senior Manager, Data Engineering (Spark, AWS) 4+ years of data warehousing experience (Redshift or Snowflake) 5+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL.
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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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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. 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. Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community.
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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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As a Capital One Lead Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One. 4+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL.
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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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Lead Data Engineer, Bank Tech. New York City (Hybrid On-Site): $201,400 - $229,900 for Lead Data Engineer. At this time, Capital One will not sponsor a new applicant for employment authorization for this position.
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Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. We are seeking Data Engineers who are passionate about marrying data with emerging technologies.
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Successfully completed (at minimum) 5 or more major Implementations at the architect level Deep API-led, Microservice Architecture, Governance and Services Lifecycle Governance experience Proficiency in Open-Source environment Active contributor to open-source projects is plus Strong programming/scripting skills (e.g., NodeJS/typescript Python, Bash, etc.
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2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) As a Capital One Data Engineer, youll have the opportunity to be on the forefront of driving a major transformation within Capital One.
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The Senior Lead Data will be responsible for partnering with Technology, Machine Learning, Product Architecture, and other Capital One teams to support the development of the Finance Tech Data Strategy into products and services we create and consume.
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tech data google cloud open source jobs Title: program manager Company: Capital One
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