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Basic Qualifications: - Bachelor's degree - At least 8 years of software engineering experience - At least 1 year of experience with cloud computing (AWS, Microsoft Azure, Google Cloud) - At least 1 year of experience with Big Data, Data Security, Governance, and Controls - At least 1 year of experience with containerization technologies Preferred Qualifications: - Master's degree - 9+ years of software engineering experience in technologies such as GoLang, Java, Python, Rust, or C.
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Experience with big data technologies and frameworks (e.g., Hadoop, Spark) and cloud-based data platforms (e.g., AWS, Azure, Google Cloud Platform). Solid understanding of data governance, data quality, and data management best practices.
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Locations: VA - McLean, United States of America, McLean, VirginiaSr. Software Engineer, DevOps (Remote-Eligible)Capital One has taken a bold journey to build a technology company, while operating in a complex, highly regulated business.
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Big Data Software Engineer III. Ensuring industry best practices around data pipelines, metadata management, data quality, data governance, and data privacy.
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Experienced with open source big data processing technologies such as Airflow, Hive, Flink, Spark, Kafka, Storm, etc. Contribute to the overall architecture and design of healthcare monitoring applications, providing valuable input on data processing and data governance.
$140,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Big Data Software Engineer IV. Ensure industry best practices around data pipelines, metadata management, data quality, data governance, and data privacy.
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The Data Discovery (BigID) engineer will work as part of the Cyber Risk Governance team to roll out BigID across AA. This individual will work to deploy the BigID remote scanners in Azure Kubernetes (AKS) and on-prem Kubernetes environments.
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2+ years with Big Data Hadoop cluster (HDFS, Yarn, Hive, MapReduce frameworks), Spark, AWS EMR. Knowledge of Environmental, Social, and Corporate Governance (ESG) Familiarity with Hadoop / Spark information architecture, Data Modeling, Machine Learning (ML.
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Ll work on everything from customer-facing web applications using cutting-edge open source frameworks, to highly-available RESTful services, to back-end Java based systems using the hottest techniques in Big Data. You.
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Locations: US Remote, United States of AmericaSenior Software Engineer, Full Stack- Capital One Software (Remote)Who we are Capital One Software is a Line of Business that supports Capital One.
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Today, the Capital One Software team is exploring how these internal solutions across cloud, data, governance, and applications could serve the needs of other companies born or built in the cloud.
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1+ years hands on experience on GCP Cloud data implementation projects (Dataflow, DataProc, Cloud Composer, Big Query, Cloud Storage, GKE, Airflow, etc. At least 2 years of experience in Data governance and Metadata Management.
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They are looking for a Python software engineer with experience in Big Data and Security for a 100% remote opportunity. Revolutionizing Risk – Python/Big Data – Remote Motion Recruitment : United States Remote.
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Skilled in discovering patterns in large data sets with the use of relevant software such as Oracle Data Mining or Informatica. Skilled in AWS Management and Governance suite of products such as CloudTrail, CloudWatch, or Systems Manager.
Full-timeRemoteExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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Basic Qualifications: - Bachelor’s Degree - At least 8 years of software engineering experience, excluding internships - At least 1 year of cloud computing experience (AWS, Microsoft Azure, Google Cloud) - At least 1 year of experience in Big Data, Data Security, Governance, and Controls - At least 1 year of experience with containerization technologies Preferred Qualifications: - Master’s Degree - 9+ years of software engineering experience in technologies like GoLang, Java, Python, Rust, or C.
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