Чем предстоит заниматься
Build and maintain scalable data pipelines and transformations using dbt, SQL, Python, and Snowflake
Develop and optimize data ingestion workflows, API integrations, and CDC pipelines using established engineering frameworks and best practices
Implement data quality checks, testing, monitoring, and observability mechanisms to ensure reliable and trustworthy data products
Design and maintain the foundational data layers, delivering clean, schema-enforced, contract-compliant, and analytics-ready upstream models for domain teams to leverage
Leverage AI-powered development tools such as GitHub Copilot and Claude to improve productivity, code quality, and documentation
Collaborate with analysts, BI teams, and stakeholders to define metrics, clarify business logic, and deliver impactful data solutions
Contribute to data governance, compliance, and platform reliability by following data contracts, security standards, and engineering best practices