Data Engineer

Навыки

• Airflow
• Avro / Parquet
• AWS
• ClickHouse
• Data Lake
• dbt
• Docker

О компании и продукте

• 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.
• 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.

Задачи

• 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

Требования

• 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
• Will be a plus
• 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

Условия

• Flexible working hours and a hybrid work format
• Well-equipped offices for focused and collaborative work
• A global, distributed team of 500+ professionals
• Learning, mentorship, and long-term career growth
• Relocation support and private health insurance
• TradingView Premium access
• Regular team events and company-wide meetups
• Join the TradingView team and help us build a product used by millions of traders and investors worldwide. We look forward to hearing from you!
• TradingView is an equal opportunity employer
• We embrace diversity and are dedicated to fostering a diverse and inclusive workplace
• Our success is driven by 600+ professionals from 40+ countries who speak nearly 20 languages

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