Описание
Our Technology teams are working on our new validation platform. Our clients around the world rely on data and insights to innovate and grow. As a Senior Engineer, you’ll be part of a team of smart, highly skilled technologists who are passionate about learning and supporting cutting-edge technologies such as Snowflake Tasks, Streams, Pipes (Snowpipe), External Tables, components: Azure: Blob Storage, ADLS, Functions, ADF, Purview Roles and
Responsibilities
Data Engineering & Pipelines Design, develop, and optimize scalable ELT/ETL pipelines using Python and SQL. Build real-time, near-real-time, and batch frameworks using cloud-native services. Implement incremental loads, CDC, SCD, schema evolution, and orchestration best practices.
Snowflake Engineering Architect and manage Snowflake environments: warehouses, databases, schemas, resource monitors, RBAC, zero-copy clones, clusters, micro partition. Implement Snowflake Tasks, Streams, Pipes (Snowpipe), External Tables for event-driven data workflows. Optimize compute cost and query performance using clustering, micro-partitioning, caching, and warehouse sizing.
Cloud Engineering - Azure Build and maintain solutions using cloud-native compute/storage components: Azure: Blob Storage, ADLS, Functions, ADF, Purview Data Warehousing & Modeling Design enterprise-grade Data Warehouses, Data Marts, and Semantic Layers. Implement Kimball, Data Vault, and modern ELT-first design patterns. Work closely with BI/ML teams to operationalize
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