Fannie Mae seeks a highly motivated and technically proficient Big Data Engineer - AWS to join our talented team of data engineers. In this role, you will have the opportunity to design, build, and maintain cutting-edge big data solutions. You will have the chance to work on complex projects and use the latest AWS technologies to design and develop powerful data pipelines. The ideal candidate will be a self-starter with a passion for big data engineering and experience working in an AWS environment.To be successful in this role, you must have:• Bachelor's degree in Computer Science, Engineering, or a related field• At least 5 years of experience with developing and deploying big data solutions• Expert-level knowledge of AWS services such as S3, Athena, EMR, and DynamoDB• In-depth knowledge of distributed systems, data analysis, and software development principles• Experience with programming languages such as Java, Python, and Scala• Familiarity with open-source big data platforms such as Apache Spark and Hadoop• Excellent written and verbal communication skillsIf you are a big data enthusiast who is eager to work in an exciting and innovative environment, we want to hear from you!
Responsibilities:
- Design, build, and maintain big data solutions using AWS technologies.
- Develop and deploy powerful data pipelines.
- Troubleshoot and resolve issues with big data solutions.
- Work with programming languages such as Java, Python, and Scala.
- Implement open-source big data platforms such as Apache Spark and Hadoop.
- Monitor and optimize data flows for maximum efficiency.
- Collaborate with team members to ensure successful project completion.
- Stay up-to-date with the latest AWS innovations and industry best practices.
- Provide technical guidance and support to other team members.
- Document processes and procedures for other data engineers.
Bachelor's Degree In Computer Science Or A Related Field
Expertise In Programming Languages Such As Java
Python
Scala
And/Or R
Experience With Cloud-Based Solutions Such As Amazon Web Services (Aws)
Proficiency In Data Modeling
Etl
And Data Warehousing
Knowledge Of Big Data Technologies Such As Hadoop
Spark
And Kafka
Understanding Of Data Analysis Concepts And Techniques
Sql
Python
Java
Data Analysis
ETL
Machine Learning
Hadoop
Cloud
Kafka
AWS
Spark
Data Mining
Data Visual
Communication
Leadership
Time management
Interpersonal Skills
self-motivation
Critical thinking
Creative Thinking
Teamwork
Adaptability
Problem-Solving
According to JobzMall, the average salary range for a Big Data Engineer - AWS in Reston, VA, USA is between $90,000 and $150,000 per year. This range may vary depending on experience, location, and type of role.
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The Federal National Mortgage Association, commonly known as Fannie Mae, is a United States government-sponsored enterprise and, since 1968, a publicly traded company. It engages in the provision of access to affordable mortgage credit and indirectly enables families to buy, refinance or rent homes. It operates through the following segments: Single-Family Credit Guaranty, Multifamily, and Capital Markets.

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