Job Description As a valued colleague on our team, you will contribute to developing 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.

　　THE IMPACT YOU WILL MAKE

　　The Senior 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:

　　Identify 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.

　　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 with Big Data Hadoop cluster (HDFS, Hive, MapReduce frameworks), Spark, AWS EMR, ECS

　　2+ years of recent experience with building and deploying applications in AWS (S3, Hive, Glue, AWS Batch, Dynamo DB, Redshift, AWS EMR, Cloudwatch, RDS, Lambda, SNS, SWS etc.)

　　2+ years of Python, SQL, SparkSQL, PySpark

　　Excellent problem-solving skills and strong verbal and ; written communication skills

　　Ability to work independently as well as part of an agile team (Scrum / Kanban)

　　Desired Experiences:

　　Bachelor degree or equivalent

　　4+ years experience with Big Data Hadoop clusters, AWS, and Python

　　Knowledge of Spark streaming technologies

　　Experience in working with agile development teams

　　Familiarity with Hadoop / Spark information architecture, Data Modeling, Machine Learning (ML)

　　Knowledge of Environmental, Social, and Corporate Governance (ESG)

　　Skills

　　Skilled in cloud technologies and cloud computing

　　Programming including coding, debugging, and using relevant programming languages

　　Experience in the process of analyzing data to identify trends or relationships to inform conclusions about the data

　　Skilled in creating and managing databases with the use of relevant software such as MySQL, Hadoop, or MongoDB

　　Skilled in discovering patterns in large data sets with the use of relevant software such as Oracle Data Mining or Informatica

　　Experience using software and computer systems' architectural principles to integrate enterprise computer applications such as xMatters, AWS Application Integration, or WebSphere

　　Working with people with different functional expertise respectfully and cooperatively to work toward a common goal

　　Communication including communicating in writing or verbally, copywriting, planning and distributing communication, etc.

　　Tools

　　Skilled in AWS Analytics such as Athena, EMR, or Glue

　　Skilled in AWS Database products such as Neptune, RDS, Redshift, or Aurora

　　Skilled in SQL

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

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

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

　　Skilled in Python object-oriented programming

　　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 [email protected].