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Familiarity with at least one of the following Cloud technologies and service providers: Amazon Web Services (AWS), Microsoft (MS) Azure, Google Cloud. Preferred Qualifications Experience AND/OR Certification with cloud and container management & security technologies such as: VMWare, AWS, Azure, Google Cloud, Docker, Redhat OpenShift, Amazon Elastic Container Service (ECS), Docker Swarm, Kubernetes, Nomad.
$92,600 - $139,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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At least 3 years of experience in Cloud Native technologies (Amazon Web Services, Microsoft Azure, Google Cloud Platform) 130 5th Ave (22130), United States of America, New York, New YorkLead Software Engineer, DevOpsDo you love building and pioneering in the technology space.
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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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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. 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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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. The environment involves Batch Pipelines involving core technologies such as Scala, Python, Spark, EMR, Glue, Airflow, Step Functions, Delta, Uniform Catalog, Iceberg, DynamoDB amongst many others.
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4+ years of data warehousing experience (Redshift or Snowflake) 9+ years of experience in application development including Python, SQL, Scala, or Java. 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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Senior Manager, Data Engineering (Spark, AWS) Lead a team of developers with deep experience in machine learning, distributed microservices, and full stack systems. 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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Senior Manager, Data Engineering. 4+ years of experience with UNIX/Linux including basic commands and shell scripting. 4+ years of experience with NoSQL implementation (Mongo, Cassandra) 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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Center 1 (19052), United States of America, McLean, VirginiaSenior Manager, Data Engineering. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. 4+ year experience working on real-time data and streaming applications.
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Extensive experience or knowledge of cloud-based data platform technologies such as AWS, Microsoft Azure or Google Cloud Computing. In depth knowledge of modern data technologies including Snowflake, RedShift, Azure SQL/Synaspe, Databricks or similar technologies.
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3) 3 years of experience in the past 4 years in working with Microsoft Azure Cloud platform, including familiarity with other Azure services like Azure Data Lake Storage, Azure Databricks, Azure Data Factory, and Azure DevOps.
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1+ year of experience in data engineering using open-source technology stack along with cloud computing (AWS, Microsoft Azure, Google Cloud) 3+ years of experience with AWS, GCP, Azure, or another cloud service.
$72,000 - $185,000 a yearFull-timeExpandApply NowActive JobUpdated 23 days ago - UpvoteDownvoteShare Job
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Minimum Experience: 2 years of process engineering experience in a chemical or petrochemical environment; with at least 2 years of experience using timeseries tools such as SEEQ, natural language processing (NLP), building predictive maintenance machine learning productions and taking them to production, building machine learning solutions with cloud tools (AWS, Azure, Google cloud), and knowledge of applying overall equipment effectiveness (OEE) calculations.
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Expert-level cloud engineer, with hands-on management of production and non-production cloud-based software solutions running on Microsoft Azure (Microsoft Government Cloud preferred.
$150Full-timeExpandApply NowActive JobUpdated Today
software developer microsoft azure google cloud jobs Title: engineer Company: Fico
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