Position Details
About this role
This role involves designing and building foundational data infrastructure, focusing on streaming analytics and data products to support analytics and machine learning at scale.
Key Responsibilities
- Build data infrastructure
- Develop streaming analytics solutions
- Manage data systems
- Collaborate with data science teams
- Optimize data pipelines
Technical Overview
Environment includes Kinesis, Flink, ElasticSearch, Snowflake, and data pipeline technologies for scalable data processing and analytics.
Ideal Candidate
The ideal candidate is a mid-level data engineer with 3+ years experience in building scalable data platforms, streaming analytics, and data systems, with strong collaboration skills.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Less than 3 years data engineering experience, Lack of experience with streaming analytics, No experience with distributed data systems
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