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.
As 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 MAKE The Lead 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.
THE EXPERIENCE YOU BRING TO THE TEAM
4-6 Years ExperienceTechnical Expertise in Python, Java, and AWS TechnologiesExperience 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 datasetsExcellent collaboration & communication skills
Bachelor degree or equivalentExperience working in Finance, Mortgage, or Banking verticalsExperience working with DevOps Engineers and understanding of DevOps best practicesExperience working with Amazon Redshift
Skilled in discovering patterns in large data sets with the use of relevant software such as Oracle Data Mining or InformaticaAdept at managing project plans, resources, and people to ensure successful project completionExperience using software and computer systems' architectural principles to integrate enterprise computer applications such as xMatters, AWS Application Integration, or WebSphereSkilled in creating and managing databases with the use of relevant software such as MySQL, Hadoop, or MongoDBThe group of skills related to Programming including coding, debugging, and using relevant programming languagesExperience helping an organization to plan and manage change in effort to meet strategic objectivesSkilled in cloud technologies and cloud computingExperience in the process of analyzing data to identify trends or relationships to inform conclusions about the data
Skilled in PythonSkilled in JavaSkilled in DevOpsSkilled in Amazon Web Services (AWS) offerings, development, and networking platformsSkilled in AWS Compute such as EC2, Lambda, Beanstalk, or ECSSkilled in AWS Database products such as Neptune, RDS, Redshift, or AuroraSkilled in AWS Analytics such as Athena, EMR, or GlueSkilled in AWS Management and Governance suite of products such as CloudTrail, CloudWatch, or Systems ManagerSkilled in Hadoop/Spark
The future is what you make it to be. Discover compelling opportunities at Fanniemae.com/careers.
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 .