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Preferred Qualifications: Experience with Kubernetes, MySQL, BigTable, BigQuery, Oracle, Hadoop, Beam, Dataflow, Google PubSub, Kafka. Experience with programmatic management of digital ad platforms (e.g. Google Ads, Bing Ads, Facebook Ads, etc) is a plus.
$175,000 a yearFull-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 3+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL.
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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 Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One.
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Senior Data Engineer (Bank Tech) 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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Experience with the following tools and technologies: -Hadoop, Spark, Hive, Elastic Search -Experience with various database and big data -Google Cloud DataFlow, Apache BeamAbility to develop and write technical specifications.
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As a part of our Big Data Product team, the Data Solutions Engineer will be responsible for developing and validating Big data products and applications which runs on the large Hadoop cluster and Cloud.
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Experience with data management technologies such as Databricks, Apache Spark, Hadoop, Kafka. Experience developing and deploying Machine Learning solutions on cloud platforms (e.g., AWS, Azure, or Google Cloud Platform.
Full-timeExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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Experience with distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka. Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud.
$172,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Senior Data Engineer. As a Capital One Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One. 2+ years of data warehousing experience (Redshift or Snowflake.
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Experience with big data, distributed systems, cloud platforms (Hadoop, AWS, Spark, Kafka, etc.) , and microservicesFamiliarity with working in cloud-based environments like Amazon Web Services (AWS), Google Cloud, or Microsoft Azure and their machine learning tools.
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5+ years of experience in application development including Python, SQL, Scala, or Java. 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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Experience leveraging cloud services to manage infrastructure and workloads (AWS, Google Cloud, Azure, etc.) Experience with big data tools: Hadoop, Spark, Kafka, etc.
$160,000 a yearFull-timeExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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Minimum of 7 years experience in data pipeline architecture, ETL processes, data warehouse and database design, and Cloud platforms such as AWS, Google Cloud, Azure, or Hadoop, especially with a focus on data engineering and big data technologies (Spark, Kafka, etc.
$100,000 a yearFull-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Senior Data Engineer, Card Tech. 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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Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace.
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hadoop kafka google cloud jobs Title: senior engineer
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