About the role
TL;DR
Build and scale the data platform for an agent-native search product.
- •Nebius is building an agent-native search platform designed specifically for AI systems.
- •We are looking for a Data Engineer to help build and scale the data platform behind our search quality, ML pipelines, product analytics, and business operations.
- •Key Responsibilities Contribute to the design, development, and operation of Tavily's data platform.
- •Build and maintain reliable batch and streaming pipelines.
- •Design and evolve scalable, analytics-ready data models in the data warehouse.
- •Improve observability across the data platform.
- •Partner with researchers, engineers, analysts, and product managers to deliver trustworthy datasets.
- •Requirements 5+ years of Data Engineering experience.
- •Hands-on experience with Snowflake or BigQuery.
- •Strong experience with modern data orchestration and transformation frameworks such as Airflow and dbt.
- •Fluent in Python and SQL.
- •Experience operating data systems in production.
Required skills
PythonSQLSnowflakeBigQueryAirflowdbtSparkPostgreSQLMySQLMongoDBElasticsearchRedis
Nice-to-have skills
AWSGoogle Cloud
Domain expertise
developer-toolsai
Benefits & perks
Competitive compensation, Career growth and learning opportunities, Flexibility and ownership, Collaborative and innovative culture, Opportunity to work on impactful AI projects, International environment and talented teams
Tech stack
PythonSQLSnowflakeBigQueryAirflowdbtSparkAWSGoogle CloudPostgreSQLMySQLMongoDBElasticsearchRedis
