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2 months ago
Job Summary
Veritonic is the audio industry's leading analytics and research platform. We’re a high-growth start-up at the forefront of audio's meteoric growth, and we are rapidly scaling our team. Our platform gives some of the best known brands, agencies, and publishers tools and insights to make their audio campaigns more effective. We are headquartered in NYC with global operations and backed by some of the most prolific VCs in the world, including Greycroft, Audible, and Lerer Hippeau.
- Minimum Qualification : Degree
- Experience Level : Mid level
- Experience Length : 5 years
Job Description/Requirements
Responsibilities:
- Provide technical direction to a passionate and motivated engineering team
- Collaborate with internal stakeholders on clarifying requirements and needs for initiatives
- Building and architecting large-scale data pipelines
- Responsible for the building, deployment, and maintenance of mission critical analytics solutions that process data quickly at big data scale
Qualifications:
- 5+ years experience with Python
- Experience with Big Data technologies such as Map Reduce, PySpark, Presto, Snowflake, Redis
- Knowledge of Cloud Native (Container-based) Orchestration
- Extensive use of AWS
- Frontend: VueJS, NodeJS
- Backend: MongoDB, Python, PySpark, Dask
- Experience with building GDPR / CCPA compliant architecture and systems
- Familiarity with best practices for security, SDLC and SOC2
- Exposure to machine learning frameworks
- Startup experience preferred!
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