Data Engineer

Data Engineer

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.

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

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

We offer:

• Work with the most popular product in its industry
• Employment under Georgian or Cyprus labor law and a competitive salary
• 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