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Senior -Data Engineer - AWS

Company: Fannie Mae
Location: Reston
Posted on: May 11, 2022

Job Description:

Company DescriptionAt Fannie Mae, futures are made. The inspiring work we do makes an affordable home a reality and a difference in the lives of Americans. Every day offers compelling opportunities to modernize the nation's housing finance system while being part of an inclusive team using new, emerging technologies. Here, you will help lead our industry forward, enhance your technical expertise, and make your career.Job DescriptionAs a valued colleague on our team, you will provide expert advice and guidance to the team regarding the development of data infrastructures and pipelines to capture, integrate, organize, and centralize data while testing and ensuring data is readily accessible and in a usable state, including quality assurance.THE IMPACT YOU WILL MAKEThe Senior -Data Engineer - AWS -role will offer you the flexibility to make each day your own, while working alongside people who care so that you can deliver on the following responsibilities:

  • Assess customer needs and intended use of requested data in the development of database requirements and support the planning and engineering of enterprise databases.
  • Maintain comprehensive knowledge of database technologies, complex coding languages, and computer system skills.
  • Lead the team to organize and integrate data into readily available formats while maintaining existing structures and govern their use according to business requirements.
  • Lead the analysis of new data sources and monitoring of performance, scalability, and security of data.
  • Analyze the initial analysis and deliver the user interface (UI) to the customer to enable further analysis.QualificationsTHE EXPERIENCE YOU BRING TO THE TEAMRequired Experience
    • 4+ -years experience
    • Technical expertise in Python, Java, and AWS Technologies
    • Experience with AWS Elastic MapReduce (EMR)
    • Experience and familiarity with Hadoop/Spark information architecture, Data Modeling, Machine Learning (ML)
    • ETL Experience and data process automation on large datasets
    • Excellent collaboration & communication skillsPreferred Experience
      • 6+ years experience
      • Bachelor degree or equivalent
      • Experience working in Finance, Mortgage, or Banking verticals
      • Experience working with DevOps Engineers and understanding of DevOps best practices
      • Experience working with Amazon RedshiftSkills
        • Skilled in discovering patterns in large data sets with the use of relevant software such as Oracle Data Mining or Informatica
        • Adept at managing project plans, resources, and people to ensure successful project completion
        • Experience using software and computer systems' architectural principles to integrate enterprise computer applications such as xMatters, AWS Application Integration, or WebSphere
        • Skilled in creating and managing databases with the use of relevant software such as MySQL, Hadoop, or MongoDB
        • The group of skills related to Programming including coding, debugging, and using relevant programming languages
        • Experience helping an organization to plan and manage change in effort to meet strategic objectives
        • Skilled in cloud technologies and cloud computing
        • Experience in the process of analyzing data to identify trends or relationships to inform conclusions about the dataTools
          • Skilled in Python
          • Skilled in Java
          • Skilled in DevOps
          • Skilled in Amazon Web Services (AWS) offerings, development, and networking platforms
          • Skilled in AWS Compute such as EC2, Lambda, Beanstalk, or ECS
          • Skilled in AWS Database products such as Neptune, RDS, Redshift, or Aurora
          • Skilled in AWS Analytics such as Athena, EMR, or Glue
          • Skilled in AWS Management and Governance suite of products such as CloudTrail, CloudWatch, or Systems Manager
          • Skilled in Hadoop / Spark -Additional InformationJob REF ID: - -REF9778UThe future is what you make it to be. Discover compelling opportunities at -Fannie Mae is an Equal Opportunity Employer, which means we are committed to fostering a diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, religion, national origin, gender, gender identity, sexual orientation, personal appearance, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation in the application process, email us at

Keywords: Fannie Mae, Reston , Senior -Data Engineer - AWS, Accounting, Auditing , Reston, Virginia

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