Cloud Data Engineer (Hybrid)

Company 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.

Job Description

As a valued colleague on our team the Single Family Analytics (SFA) team, you will contribute to developing Cloud data infrastructure and pipelines to capture, integrate, organize, and centralize data while testing and ensuring the data is readily accessible and in a usable state, including quality assurance. In addition, you will help develop/implement new Analytic tools on the Cloud, or to migrate existent processes on prem to the Cloud

THE IMPACT YOU WILL MAKE
The Single Family - Data Engineering - Senior Associate 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:

• Support Cloud data infrastructure needs for Single Family Analytics Purposes
• Identify customer needs and intended use of requested Cloud data to create processes that will support those needs and help augment the SFA data layer 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.
• Support the integration of data into readily available formats while maintaining existing structures and govern their use according to business requirements.
• Analyze new data sources and monitor the performance, scalability, and security of data.
• Create an initial analysis and deliver the user interface (UI) to the customer to enable further analysis.

Qualifications

THE EXPERIENCE YOU BRING TO THE TEAM

Minimum Required Experiences

• 2 years of relevant work experience 

Functional Skills 

• Experience gathering accurate information to explain concepts and answer critical questions
• Experience using software and computer systems' architectural principles to integrate enterprise computer applications
• Working with people with different functional expertise respectfully and cooperatively to work toward a common goal
• Skilled in discovering patterns in large data sets
• Skilled in Programming including coding, debugging, and using relevant programming languages
• Ability to transform business processes using BPA, RPA, or other technology-enabled automation
• Ability to frame ideas as systems and analyzing the inputs, outputs, and process
• Skilled in Influencing including negotiating, persuading others, facilitating meetings, and resolving conflict
• Determining causes of operating errors and taking corrective action
• Experience with Product Testing including testing and evaluating software, usability testing, UAT, and using relevant product testing technology.
• Expertise in developing websites for hosting via intranet or Internet, which may also include web design, web content development, scripting, and/or network security configuration
• Adept at managing project plans, resources, and people to ensure successful project completion
• The group of skills related to Communication including communicating in writing or verbally, copywriting, planning and distributing communication, etc.
• The group of skills related to Product Development including designing products, developing product roadmaps, translating design requirements, prototyping, etc.
• Experience monitoring and managing operation systems (OS), and staying current on patches, upgrades, and other elements of the OS

Technical 

• Knowledge of AWS Services/Architecture
• Experience in AWS Compute such as EC2, Lambda, Beanstalk, Batch or ECS
• Experience with AWS Storage services such as: S3, EFS, Glacier.
• Experience in AWS Management and Governance suite of products such as CloudTrail, CloudWatch
• Experience in AWS Analytics such as Athena, EMR, Glue, Redshift, Kinesis
• Strong knowledge in Python object-oriented programming
• Strong experience with AWS Database services such as: RDS, DynamoDB
• Experience using APIs for developing or programming software
• Experience using AWS Application Integration Services such as: Simple Notification Service (SNS), Simple Queue Service (SQS),