Data Engineer

TradingView is the world’s #1 platform for all things investing. 100M+ users trust us to inform their trading decisions. Want to make an impact? Apply now — help shape the future of finance.

What you'll do

• 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 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