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Finance Transformation
4 weeks ago
Finance Transformation - Data Management - Senior Associate (Hybrid)
Full-time
Target Hiring Range (1): 105000
Target Hiring Range (2): 136000
Worker Classification: Hybrid
At Fannie Mae, futures are made. The inspiring work we do helps make a home a possibility for millions of homeowners and renters. Every day offers compelling opportunities to impact the future of the housing industry while being part of an inclusive team thriving in an energizing, flexible environment. Here, you will grow your career and help create access to fair, affordable housing finance.
As a valued colleague on our team, you will design, manage, and document data stores, data warehouses, and/or subject areas, as well as assess opportunities for improving or consolidating data stores, data warehouses, and their data elements.
THE IMPACT YOU WILL MAKE
The Finance Transformation - Data Management - 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:
Manage data and perform development or maintenance work on complex data models to support enterprise projects.
Evaluate data model discrepancies and provide solutions to complicated data integration challenges.
Coordinate with business units and technical staff to understand data usage, lineage, and attributes.
Evaluate and support the alignment of data architecture workstreams with business objectives.
Recommend opportunities for new data models and/or the reuse of data models in new environments.
Minimum Required Experiences
2 years
Strong SQL Experience
Solid analytical and problem-solving skills
Good communication, and collaboration skills
Skilled in presenting information and/or ideas to an audience in a way that is engaging and easy to understand.
1+ years' AWS cloud-based technology services experience
Must be a self-starter and motivated to learn new technologies, skills, and knowledge required by duties and responsibilities in required timeframe
Desired Experiences
Bachelor degree or equivalent
Proficiency in Amazon Web Services (AWS) architecture and technologies such as S3, Redshift, Glue, EMR, Lambda, Step Functions, SQS/SNS, and ECS, among others
Skilled in JSON
Experience in Agile ceremonies and best practices
Experience working for a financial services company
Skills
Proficiency in Amazon Web Services (AWS) architecture and technologies such as S3, Redshift, Glue, EMR, Lambda, Step Functions, SQS/SNS, and ECS, among others
Skilled in JSON
Experience in Agile ceremonies and best practices
Experience working for a financial services company
Tools
Skilled in Oracle Database
Skilled in AWS Analytics such as Athena, EMR, or Glue
Skilled in AWS Database products such as RDS, Redshift, or Aurora
Skilled in Excel
Skilled in Python object-oriented programming
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 careers_mailbox@fanniemae.com.
The hiring range for this role is set forth on each of our job postings located on Fannie Mae's Career Site. Final salaries will generally vary within that range based on factors that include but are not limited to, skill set, depth of experience, certifications, and other relevant qualifications. This position is eligible to participate in a Fannie Mae incentive program (subject to the terms of the program). As part of our comprehensive benefits package, Fannie Mae offers a broad range of Health, Life, Voluntary Lifestyle, and other benefits and perks that enhance an employee’s physical, mental, emotional, and financial well-being. See morehere.
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