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Master/Manager, Data Engineer

Company: Capital One
Location: Richmond
Posted on: October 11, 2018

Job Description:

Master/Manager, Data Engineer Locations: VA - Richmond, United States of America, Richmond, VirginiaAt Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.Master/Manager, Data EngineerAs a Capital One Data Engineer, you'll be part of an Agile team dedicated to breaking the norm and pushing the limits of continuous improvement and innovation. You will participate in detailed technical design, development and implementation of applications using existing and emerging technology platforms. Working within an Agile environment, you will provide input into architectural design decisions, develop code to meet story acceptance criteria, and ensure that the applications we build are always available to our customers. You'll have the opportunity to mentor other engineers and develop your technical knowledge and skills to keep your mind and our business on the cutting edge of technology. At Capital One, we have seas of big data and rivers of fast data.Who you are:You yearn to be part of cutting edge, high profile projects and are motivated by delivering world-class solutions on an aggressive scheduleSomeone who is not intimidated by challenges; thrives even under pressure; is passionate about their craft; and hyper focused on delivering exceptional resultsYou love to learn new technologies and mentor junior engineers to raise the bar on your teamIt would be awesome if you have a robust portfolio on Github and / or open source contributions you are proud to sharePassionate about intuitive and engaging user interfaces, as well as new/emerging concepts and techniques.The Job:Collaborating as part of a cross-functional Agile team to create and enhance software that enables state of the art, next generation Big Data & Fast Data applicationsBuilding efficient storage for structured and unstructured dataTransform and aggregate the data using data processor technologiesDeveloping and deploying distributed computing Big Data applications using Open Source frameworks like Apache Spark, Apex, Flink, Nifi and Kafka on AWS CloudUtilizing programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as RedshiftUtilizing Hadoop modules such as YARN & MapReduce, and related Apache projects such as Hive, Hbase, Pig, and CassandraLeveraging DevOps techniques and practices like Continuous Integration, Continuous Deployment, Test Automation, Build Automation and Test Driven Development to enable the rapid delivery of working code utilizing tools like Jenkins, Maven, Nexus, Chef, Terraform, Ruby, Git and DockerPerforming unit tests and conducting reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performanceBasic QualificationsBachelor's Degree or military experienceAt least 3 years of experience with Spark, Flink or Kafka data platformsAt least 1 year of experience with SQL database creation and SQL queryingPreferred Qualifications: Master's degree1+ year of experience with unstructured datasets with Cassandra or MongoDB2+ years of Agile engineering experience2+ years of experience with the Hadoop Stack2+ years of experience with Cloud computing (AWS)1+ years of experience with any big data visualization tools2+ years of Python or Java development experience1+ years of scripting experience1+ years' experience with Relational Database Systems and SQL (PostgreSQL or Redshift)1+ years of UNIX/Linux experience1+ year of experience with message queuing, stream processing, and big data, data stores.At this time, Capital One will not sponsor a new applicant for employment authorization for this position.

Keywords: Capital One, Richmond , Master/Manager, Data Engineer, Executive , Richmond, Virginia

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