Description

As a Senior Software Engineer in our team you'll have a key role in the design, implementation and deployment of ZoomInfo’s Data Platform. The ideal candidate is an experienced software engineer having built large scale data pipelines or systems using excellent problem solving skills and know-how of working in very large scales. Our data platform is a nascent initiative and you’ll have the opportunity to affect its direction. You’ll take the lead in bringing in new ideas, testing and validating them quickly and independently, and incorporating them while socializing them with the team.

What You’ll Be Doing

Design, build and operate highly scalable and flexible systems that can manage and process billions of records a day and support complex and diversified data pipelines

Leverage cloud computing architectures to support development needs

Track and identify relevant new technologies in the market and push their implementation into our pipelines through research and prototyping

Develop processes and tools to monitor, analyze, maintain and improve data operation, performance and usability

Partner closely with Engineering Leaders, Architects, and Product Managers to understand business requirements and provide technical solutions within larger roadmap

Work closely with Data Engineers, Data Analysts, Data Scientists, and Domain Experts to understand their needs for the data platform

Why You’ll Love Working Here

Solve interesting and challenging problems alongside a great team of engineers

Develop new skills as you push your knowledge, and our technology, to new levels

Work for a profitable, growing company with an impressive Fortune 500 client list

What You Will Bring
Bachelor’s degree in Computer Science, Software Engineering or related field

7+ years of Software Engineering experience in data platform / big data software, with a proven track record of delivering highly scalable and efficient solutions

Substantial experience with Java 5+ (preferred), Scala, or Python

Experience with streaming / data processing technologies such as Beam, Spark, Kafka, Airflow, HBase, Presto

Proven experience building enterprise-grade software in a cloud-native environment (GCP or AWS) using cloud services such as GCS/S3, Dataflow/Glue, Dataproc/EMR, Cloud Function/Lambda, BigQuery/Athena, BigTable/Dynamo

Deep technical understanding of software engineering and working with data at scale

Experience in system architecture and design

Experience in stream / data processing technologies like Kafka, Spark, Google BigQuery, Google Dataflow, Presto, HBase

Familiarity designing CI/CD pipelines with Jenkins, Github Actions, or similar tools

Experience with SQL, particularly performance optimization

Experience with Kubernetes using GKE/EKS
 

Education

ANY GRADUATE