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Data: Good understanding of data & data processing tools (e.g. Spark, Kafka, SQL), of relational database technologies and of analytics databases (e.g. Redshift, Vertica, Snowflake) Spark, Kafka, SQL), of relational database technologies and of analytics databases (e.g. Redshift, Vertica, Snowflake.
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Big Data & Streaming: 2+ years using big data and/or streaming technologies (e.g. Apache Spark, Apache Kafka, Apache Flink) Design, develop and deliver scalable, robust and highly re-usable components using technologies such as Python, Java, AWS serverless (Lambda, Glue), Apache Spark, Apache Kafka and REST.
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Blob storage, Redshift, Kafka, Hadoop, Spark, Hive etc. Experience with data streaming and real-time data processing frameworks (e.g., Kafka, Apache Flink, AWS Kinesis, etc). Familiarity with data integration techniques, ETL frameworks (e.g., Apache Spark), and workflow management tools (e.g., Airflow.
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You should be proficient in React, GraphQL, Typescript, Eventing, Experimentation, and monitoring and observability with a working knowledge of Kotlin, GRPC, protobuf, and Kafka. Applying Kotlin, GRPC, protobuf, and Kafka to ensure projects are delivered with quality and on time.
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At least 2 years of experience with distributed database systems (Cassandra, ElasticSearch, or Kafka) Strong understanding of distributed stateful applications (Cassandra, Elasticsearch, Kafka.
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Supporting a new platform on which applications will be built, leveraging a microservices architecture, Apache Kafka, Spring Boot, Docker, and Kubernetes. Experience with messaging technologies such as MQ, JMS, RabbitMQ, ActiveMQ, experience with Apache Kafka is a plus.
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Utilize scripting languages like Python, SQL, Ruby and groovy, Container Orchestration services including Docker and ECS, CM tools including Ansible and Terraform, and a variety of AWS tools and services.
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At least 2 years experience with coding and scripting (Python, SQL, Java, JavaScript, Golang, Bash, Perl or Ruby) Strong understanding of container orchestration (Nomad, Kubernetes) At least 3 years experience with Docker, Terraform or Ansible.
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5+ years experience with Docker, Terraform or Ansible. At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who love to solve real problems and meet real customer needs.
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Writing Scala code with tools like Apache Spark + Apache Arrow + Apache Kafka to build a hosted, multi-cluster data warehouse for Web3. 6+ years experience engineering software and data platforms / enterprise-scale data warehouses, preferably with knowledge of open source Apache stack (especially Apache Spark, Apache Arrow, Kafka, and others.
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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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Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. Encourage innovation, implementation of cutting-edge technologies, inclusion, outside-of-the-box thinking, teamwork, self-organization and diversity.
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All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law.
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At least 6 years of experience using build and deployment tools (Jenkins, GitHub, or Artifactory) Lead the craftsmanship, availability, resilience and scalability of your solutions. Center 1 (19052), United States of America, McLean, VirginiaLead Platform Engineer (Remote-Eligible)Do you love building and pioneering in the technology space.
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Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. As a Platform Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One.
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