Position Details
About this role
This role involves designing, building, and deploying high-volume, low-latency data platform services to support analytics and machine learning at scale.
Key Responsibilities
- Design and deploy data systems
- Build streaming data pipelines
- Optimize data infrastructure for analytics
- Collaborate with engineering teams
- Support ML data workflows
Technical Overview
The environment includes modern streaming and data technologies such as Kinesis, Flink, ElasticSearch, and Snowflake, focusing on scalable data infrastructure and real-time analytics.
Ideal Candidate
The ideal candidate is a mid-level data engineer with experience in building and deploying scalable data systems, streaming analytics, and distributed data services. They should have hands-on experience with modern data technologies and a strong problem-solving mindset.
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 streaming data technologies, No experience in distributed data systems, No hands-on experience with Snowflake or ElasticSearch
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