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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. Senior Manager, Data Engineering.
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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) 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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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. 4+ year experience working on real-time data and streaming applications.
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Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment. 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. We are seeking Data Engineers who are passionate about marrying data with emerging technologies. 2+ years of experience with Agile engineering practices.
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Team Description: The Card Data Organization team works on the foundational capabilities of how data should be produced and consumed. 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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We seek a Data Engineer who brings a robust skill set and extensive experience in cloud-based data engineering experience particularly within the realm of Azure and Databricks using Python, PySpark and cloud SQL. Critical thinking and problem-solving abilities are paramount, as you will navigate evolving and complex requirements and collaborate with stakeholders across diverse technical backgrounds.
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2 or more professional certifications (SAFe PM/PO, CISSP, GIAC, CISM, CCSP, AWS Cloud Practitioner, AWS Security) Contribute to the development of a healthy product backlog, collaborating with the Product Manager, Engineering, and Solution Architects to break down business epics, document user stories (to also include things like addressing technical debt, SRE, etc.
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2+ years of experience working with cloud based or on-prem SIEM products (Splunk, Elastic, ArcSight, QRadar, Sentinel, Securonix, LogRhythm) Capital One is seeking a product owner to help deliver game-changing cybersecurity solutions based on threat, data, and design thinking.
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Act as a technical advisor to the product manager, engineering, and other stakeholders. Bachelor's Degree in Cybersecurity, Systems Engineering, or Computer Science. You will use your deep technical knowledge and subject matter expertise in cybersecurity and systems engineering to drive impactful improvements to our cyber capabilities.
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You actively solve for cyber technical challenges in collaboration with engineering. Utilize strong cybersecurity background and customer research and insights to represent the voice of the customer to the engineering team(s.
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Lead internal backlog refinement sessions to refine cyber and customer intent, prepare business epics and stories for technical breakdown and planning, and ensure requirements are well understood by the engineering teams.
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This SRE technology leader will be responsible for managing the cloud infrastructure of our critical platform and the underlying ecosystem of services like feature management, edge infrastructure, CI/CD pipelines, and all associated components in AWS for one of the largest and most digitally advanced financial institutions serving millions of customers across multiple lines of businesses.
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Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud. Experience with distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka.
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