10 months ago
Tel Aviv-Yafo, IsraelMid Level
Responsibilities
- Design, build, and maintain efficient and reliable ETL/ELT pipelines for data warehousing.
- Develop and improve data infrastructure.
- Ensure data quality, integrity, and security across data platforms.
- Optimize data systems for performance and scalability.
- Troubleshoot and resolve data pipeline and data infrastructure issues.
- Collaborate with cross-functional teams to understand data needs and deliver solutions.
Requirements
- A degree in Computer Science, Statistics, Engineering, or a related quantitative field is required.
- At least three years of professional experience as a Data Engineer or in a similar data-infrastructure role is required.
- Proficiency in Python is required.
- Experience with relational databases and SQL is required.
- Experience with NoSQL databases is required.
- Experience with AWS and its data services is required.
- Experience building and optimizing data pipelines and data architectures is required.
- Preferred qualifications include experience with MongoDB, Snowflake, Redis, Amazon S3, big data technologies, and Airflow.
- Familiarity with Docker and Kubernetes is preferred.
- Experience with API services or search technology and knowledge of data governance and data security best practices are preferred.
Tech Stack
Categories
Data Engineering
About Tavily
Tavily builds a specialized web search and retrieval API for developers and enterprises to ground LLMs and AI agents with fresh, trustworthy online data. Its platform powers Retrieval-Augmented Generation and real-time reasoning for use cases like research copilots, sales assistants, and internal knowledge tools. Founded in 2024 and based in New York, Tavily operates as part of Nebius, focusing on connecting AI systems to current web content at scale.