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Lead Data Engineer
2 months ago
Fannie Mae is seeking a highly skilled Lead Data Engineer to join our team. As a key member of our data engineering team, you will be responsible for designing, developing, and maintaining large-scale data systems and infrastructure.
Key Responsibilities- Assess Customer Needs: Work with cross-functional teams to understand customer requirements and develop database requirements to support business needs.
- Database Expertise: Maintain in-depth knowledge of database technologies, complex coding languages, and computer system skills to design and implement efficient data systems.
- Lead Data Integration: Oversee the integration of data into readily available formats, ensuring data quality and governance.
- Performance Analysis: Analyze new data sources, monitor performance, scalability, and security of data systems.
- User Interface Development: Design and deliver user interfaces to enable further analysis and insights.
To be successful in this role, you will need:
- 4+ Years of Experience: In Big Data Hadoop cluster (HDFS, Yarn, Hive, MapReduce frameworks), Spark, AWS EMR, and building and deploying applications in AWS.
- Technical Skills: Proficiency in Python, SQL, SparkSQL, PySpark, and experience with agile development teams.
- Soft Skills: Excellent problem-solving skills, strong verbal and written communication skills, and ability to work independently and collaboratively.
We are looking for candidates with:
- Bachelor's Degree or Equivalent: In a relevant field.
- Desired Experiences: Knowledge of Spark streaming technologies, experience in working with agile development teams, and familiarity with Hadoop/Spark information architecture, Data Modeling, and Machine Learning.
Fannie Mae offers a comprehensive benefits package, including health, life, and voluntary lifestyle benefits, as well as opportunities for professional growth and development.