Senior Data Engineer (Cloud)

- Migrate data products and analytical workloads from MS SQL Server to a modern cloud data platform.

- Analyze legacy SQL, ETL processes and business logic and redesign them for the target architecture.

- Build and maintain scalable batch data pipelines and analytical models.

- Validate migrated data, investigate discrepancies and ensure data quality.

- Work with analysts and business stakeholders to clarify requirements and business logic.

- Contribute to platform reliability, performance, cost optimization and engineering practices.

- Develop and improve AI-assisted engineering automation for Data Engineering workflows, including shared agent harnesses, specifications, reusable skills, evaluation frameworks and quality controls

- Strong Data Engineering background with advanced SQL and relational databases.

- Strong hands-on experience with the GCP data stack (or any other Cloud), including deep practical knowledge of managed services such as BigQuery, Cloud Composer, and GCS.

- Experience building production ETL/ELT pipelines and analytical data models.

- Experience deploying, configuring and operating managed cloud data services, including workflow orchestration, managed/serverless compute and analytical warehouses.

- Strong Python skills (or another general-purpose programming language) and experience applying them across data engineering, platform automation, and analytical workloads.

- Good understanding of cloud infrastructure concepts: IAM, networking, monitoring, CI/CD and infrastructure configuration.

- Experience working with legacy data warehouses and complex business logic.

- Fluent Russian