Position Details
About this role
This role involves designing and deploying scalable, low-latency data systems and analytics infrastructure to support Okta’s data and ML needs.
Key Responsibilities
- Designing data systems
- Building data infrastructure
- Deploying streaming pipelines
- Optimizing data performance
- Supporting ML data needs
Technical Overview
The environment includes modern data streaming and storage technologies such as Kinesis, Flink, ElasticSearch, and Snowflake, focusing on real-time data processing and analytics.
Ideal Candidate
The ideal candidate is a senior data engineer with 5+ years experience in building and deploying large-scale, low-latency data systems. They should have expertise in streaming analytics, distributed data services, and modern data infrastructure technologies.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with distributed data systems, No experience with streaming technologies, Less than 5 years of relevant experience
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