AWS Software Engineer - Big Data

Job Description

At 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.
THE IMPACT YOU WILL MAKEThe 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:

• Work with product owners and other development team members to determine new features and user stories needed in new/revised applications or large/complex development projects.
• Create or Update documentation in support of development efforts. Documents may include detailed specifications, implementation guides, architecture diagrams or design documents.
• Participate in code reviews with peers and managers to ensure that each increment adheres to original vision as described in the user story and all standard resource libraries and architecture patterns as appropriate.
• Respond to trouble/support calls for applications in production in order to make quick repair to keep application in production.
• Serve as a technical lead for an Agile team and actively participate in all Agile ceremonies. Participate in all team ceremonies including planning, grooming, product demonstration and team retrospectives.
• Mentor less experienced technical staff; may use high end development tools to assist or facilitate development process.
• Leverage Fannie Mae DevOps tool stack to build, inspect, deploy, test and promote new or updated features.
• Set up and configure a continuous integration environment.
• Advanced proficiency in unit testing as well as coding in 1-2 languages (e. g. Java, etc).
• Advanced proficiency in Object Oriented Design (OOD) and analysis. Advanced proficiency in application of analysis/design engineering functions. Advanced proficiency in application of non-functional software qualities such as resiliency, maintainability, etc. Advanced proficiency in advanced behavior-driven testing techniques.

THE EXPERIENCE YOU BRING TO THE TEAM
Education Level (Required)

• Bachelor Degree or Equivalent

Areas of Study (Preferred)

• Business or Computer Science

Certifications (Preferred)

• Specialized training in specific platforms, enterprise

Experience (Primary)

• 4-6 years of related experience; Experienced with Agile practices/ methodologies (e. g. Scrum, TDD, BDD, etc).

Required Skills:

• 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, EMR, 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

Required Skills:

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

The future is what you make it to be. Discover compelling opportunities at careers.fanniemae.com.
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 [email protected].
Successful job applicants will be required to successfully complete a background investigation.

Req ID: 60657