Experience in finance or trading domain
Familiarity with TradingView as a product
Domain knowledge in investments - brokers, crypto exchanges, or financial markets
Experience with AI tools and workflows
Experience with Kafka or streaming data pipelines
Familiarity with data catalog and metadata management tools
Experience with data observability platforms
Python for automated data quality checks
Team description
2+ years in data engineering, analytics, DataOps or a Data Quality role
Data profiling and analysis - identifying anomalies, drift, and duplicates
Clear understanding of data quality dimensions - completeness, accuracy, consistency, and timeliness
Experience with data pipelines (e.g. ETL/Streaming/batch)
Experience handling and managing data incidents end-to-end
Solid understanding of JSON and YAML formats
Experience working with APIs and backend services (integration troubleshooting, data feed ingestion)
Strong ability to read and analyze application logs
Comfortable with Linux command line
Experience using CI/CD tools (Jenkins or GitLab) as a practitioner
English proficiency B2+ (reading and written communication)