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At TradingView, we help more than 100 million investors worldwide discover new trading opportunities and make informed decisions in global markets. Data is at the core of our strategy, and we firmly believe that fast and convenient access to reliable analytics is the key to success. 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.
Job Responsibility:
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
Requirements:
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 selecting the right technologies for specific tasks
Nice to have:
Experience with Lakehouse architecture using Parquet, AWS Athena, and other AWS technologies
Experience with monitoring systems (Prometheus + Grafana, Zabbix)
Experience with Postgres, ClickHouse
Experience with Apache NiFi
Experience building and maintaining Docker containers
What we offer:
Work with the most popular product in its industry
Flexible schedule, adaptive workspace, and dedicated relaxation areas
Health insurance and 100% sick leave compensation
Meal allowance and unlimited snacks available 24/7
Sponsored English language courses, conferences, and professional training
Team-building events and corporate activities
Support from an HR partner to help you adapt and resolve any questions