1 year ago
Bengaluru, IndiaSenior
Responsibilities
- Design and implement analytical platforms that provide insightful dashboards to customers.
- Develop and maintain data warehouse schemas, including star schemas, fact tables, and dimensions.
- Oversee data propagation from source databases to warehouse-specific databases and tools while ensuring accuracy, reliability, and timeliness.
- Design extensible and scalable architectures that can adapt to future needs.
- Build and manage data movement, transformation, integration, and pipeline processes across systems.
Requirements
- Bachelor’s, master’s, or doctoral degree in engineering from a tier 1 engineering institute, with relevant experience at a top technology company.
- At least 3 years of backend and infrastructure experience with a strong track record in development, architecture, and design.
- Hands-on experience with large-scale databases, high-scale messaging systems, and real-time job queues.
- Experience navigating large-scale systems, complex codebases, and architectural patterns.
- Proven experience building high-scale data platforms.
- Strong expertise in data warehouse schema design, including star schemas, fact tables, and dimensions.
- Experience with data movement, transformation, and integration tools for propagating data across systems.
- Ability to evaluate and implement scalable data architecture best practices.
- Preferred experience with Google Cloud, Django, Postgres, Celery, Redis, and AI infrastructure and operations.
Tech Stack
Amazon RedshiftApache AirflowApache KafkaApache SparkdbtDjangoGoogle BigQueryGoogle CloudInformaticaJavaPostgreSQLPythonRedisSnowflakeSQLTalend
Categories
BackendData Engineering
About Level AI
Level AI builds a conversational intelligence platform for enterprise contact centers, combining speech AI, NLP, and retrieval to analyze customer interactions and drive QA, coaching, automation, and analytics. It sells its software to large customer service and sales teams, typically via subscription. Founded in 2018 and headquartered in Mountain View, the company is Series C–funded, with customers such as Wayfair, Smartsheet, Chime, Gusto, and Swiss Re.