Data Engineer
About the role
TradingView is the world's largest financial analysis platform with more than 100M users across 180+ countries.
We build tools that help traders and investors make informed decisions - from advanced charting and market data to collaboration and publishing features. Our products are used daily by millions of individuals and trusted by companies like Revolut, Binance, and CME Group.
We're continuing to grow and scale our platform, and we're looking for people who care about product quality, take ownership of their work, and want to build systems used by a global audience.
About the team
The Data Engineering team is the foundation on which the entire company operates. We build scalable infrastructure that transforms massive volumes of information into clear and trustworthy insights.
The role assumes a high degree of autonomy and independence, while also requiring close collaboration with colleagues, analysts, ML engineers, and developers.
Responsibilities
- Maintain and develop Airflow DAGs
- Optimize and develop SQL queries for data marts
- Maintain and evolve the data platform infrastructure
- Develop dbt models and migrate existing data marts to dbt
- Design, develop, and test ETL/ELT processes
- Run proof-of-concept projects, present results, and bring them to production
- Participate in architectural decision-making for the data platform
- Document technical parts of delivered solutions
What makes you the perfect fit
- 4-5 years of experience as a Data Engineer
- Strong proficiency in Python, including writing Airflow DAGs
- Strong SQL skills, including query optimization, reading query execution plans, and improving query performance
- Experience with AWS
- Hands-on experience with Apache Airflow and pipeline design principles
- Experience working with dbt
- Understanding of MPP (Massive Parallel Processing) databases and hands-on experience with systems such as Redshift, Greenplum, or Vertica
- Confident Linux user
- Ability to clearly formulate technical specifications and defend technical decisions
- Skilled at selectin…