Sr Data Platform Engineer
@
PENNYMAC
Develops and maintains scalable data platforms and pipelines to support analytics and machine learning initiatives, ensuring data quality and performance across the organization.
AWS
Azure
GCP
Kubernetes
Terraform
Docker
PENNYMAC
PennyMac Financial Services, Inc. is an American residential mortgage company focused on producing and servicing U.S. mortgage loans. It operates through consumer-direct, correspondent, and broker channels to support homeownership.
This job is about being a Senior Data Platform Engineer in the company that does mortgage lending and servicing; you will do design, development, and maintenance of data platforms to support business operations and analytics.
Key Responsibilities:
- Design, develop, and maintain data platforms and pipelines
- Collaborate with cross-functional teams to understand data requirements
- Implement data governance and quality control measures
- Optimize data storage and retrieval systems
- Troubleshoot and resolve data platform issues
- Create and maintain documentation for data platforms
- Mentor junior engineers and provide technical guidance
Requirements:
- Bachelor's degree in Computer Science, Engineering, or related field
- 5+ years of experience in data engineering or related roles
- Strong programming skills in languages such as Python, Java, or Scala
- Experience with big data technologies (Hadoop, Spark, Kafka)
- Proficiency in SQL and NoSQL databases
- Knowledge of cloud platforms (AWS, Azure, GCP)
- Experience with data modeling and ETL processes
- Understanding of data governance and security principles
- Strong problem-solving and analytical skills
- Excellent communication and collaboration abilities
This job is about being a Senior Data Platform Engineer in the company that does mortgage lending and servicing; you will do design, development, and maintenance of data platforms to support business operations and analytics.
Key Responsibilities:
- Design, develop, and maintain data platforms and pipelines
- Collaborate with cross-functional teams to understand data requirements
- Implement data governance and quality control measures
- Optimize data storage and retrieval systems
- Troubleshoot and resolve data platform issues
- Create and maintain documentation for data platforms
- Mentor junior engineers and provide technical guidance
Requirements:
- Bachelor's degree in Computer Science, Engineering, or related field
- 5+ years of experience in data engineering or related roles
- Strong programming skills in languages such as Python, Java, or Scala
- Experience with big data technologies (Hadoop, Spark, Kafka)
- Proficiency in SQL and NoSQL databases
- Knowledge of cloud platforms (AWS, Azure, GCP)
- Experience with data modeling and ETL processes
- Understanding of data governance and security principles
- Strong problem-solving and analytical skills
- Excellent communication and collaboration abilities
