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Job Details


Fannie Mae

AWS Software Engineer – Big Data (REF9422W)

Business and Financial Operations

All

Yearly

Full Time

No

Reston, Virginia, United States

Job Description

As a valued colleague on our team, you will collaborate with team in designing, producing, testing, or implementing moderately complex software, technology, or processes, as well as create and maintain IT architecture, large scale data stores, and cloud-based systems.

THE IMPACT YOU WILL MAKE
The AWS Software Engineer – Big Data 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:

  • Independently determine the needs of the customer and create solution frameworks.
  • Design and develop moderately complex software solutions to meet needs.
  • Use a process-driven approach in designing and developing solutions.
  • Implement new software technology and coordinate end-to-end tasks across the team.
  • May maintain or oversee the maintenance of existing software.

Qualifications

THE EXPERIENCE YOU BRING TO THE TEAM

Minimum Required Experiences:

  • 2+ years with Big Data Hadoop cluster (HDFS, Yarn, Hive, MapReduce frameworks), Spark
  • 2+ years of recent experience with building and deploying applications in AWS (S3, Hive, Glue, AWS Batch, Dynamo DB, Redshift, Cloudwatch, RDS, Lambda, SNS, SWS etc.)
  • 4+ years of Java / Python, SQL, SparkSQL, PySpark
  • Excellent problem solving skills and strong verbal & written communication skills
  • Ability to work independently as well as part of a team


Desired Experiences:

  • Bachelor degree or equivalent
  • Knowledge of Spark streaming technologies
  • Familiarity with Hadoop / Spark information architecture, Data Modeling, Machine Learning (ML)
  • Knowledge of Financial Products, Risk Management, Portfolio Management is preferred but not mandatory. Training will be provided to help you gain ground

Skills

  • Programming including coding, debugging, and using relevant programming languages
  • Skilled in cloud technologies and cloud computing
  • Experience using software and computer systems' architectural principles to integrate enterprise computer applications such as xMatters, AWS Application Integration, or WebSphere

Tools

  • AWS Developer tools such as CodeBuild, CodeDeploy, CodeStar, or CodePipeline
  • S3 / Glue
  • Python / Java