Lead Cloud & Data Engineer (Hybrid)

Key Skills

Amazon Elastic Compute Cloud-EC2, Amazon EMR, Amazon RedShift, AWS, AWS Aurora, ETL/ELT technologies, Java Programming, Jenkins, JIRA, Microsoft-Excel, PostgreSQL, PySpark, Python Programming, SQL

Job Description

Company Description

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 use tech to tackle housing’s biggest challenges and impact the future of the industry. You’ll be a part of an expert team thriving in an energizing, flexible environment. Here, you will grow your career and help create access to fair, affordable housing finance.

Job Description

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 Cloud & Data Engineer (Hybrid) 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.

Qualifications

THE EXPERIENCE YOU BRING TO THE TEAM

Minimum Required Experiences

• 4 years

Desired Experiences

• Bachelor degree or equivalent

• 4 to 5 years of experience in Programming in Data integration

Skills

• Experience in ETL and ELT design and implementation on AWS platform

• Experience in implementing best practices in data integration on AWS platform

• Experience working with AWS services like S3, Lambda, EMR, ECS, GLUE, SQS and SNS

• Experience in implementing Data marts or Dimensional models

• Experience in implementing Microservices on AWS platform

• Experience in working with Databases like Redshift, Aurora PostgreSQL etc.

• Experience in Python or Java programming.

• AWS Certification and hands on experience is preferred

Tools

• Skilled in AWS Compute such as EC2, Lambda, Beanstalk, or ECS, EMR

• Skilled in SQL, PL/SQL

• Skilled in PySpark

• Skilled in Python

• Skilled in AWS Database products such Redshift and Aurora

• Skilled in AWS Management and Governance suite of products such as CloudTrail, CloudWatch, or Systems Manager

• Skilled in Amazon Web Services (AWS) offerings, development, and networking platforms

• Experience using JIRA

• Skilled in Jenkins

• Skilled in Excel

Additional Information

The future is what you make it to be. Discover compelling opportunities atcareers.fanniemae.com.

Fannie Mae is primarily a hybrid company. We embrace flexibility for our employees while providing office space for in-person work and collaboration. This role is classified as hybrid. If you speak with a Recruiter, they will provide you with more information about the definition of this classification.

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 more here.