Large Scale Data Architect
2 weeks ago
The successful candidate will be responsible for designing and implementing data solutions on Snowflake, including data ingestion, transformation, and optimization.
They will have hands-on experience with Snowflake utilities, SnowSQL, SnowPipe, ETL data pipelines, Big Data model techniques using Python/Java.
Proficiency in Azure Databricks, including Spark architecture and optimization is required.
- Experience migrating data from relational databases to Snowflake and optimizing Snowflake's features such as data sharing, events, and lakehouse patterns.
- Experience in Data Migration from RDBMS to Snowflake cloud data warehouse.
- Hands-on expertise with Dremio for data lake query acceleration, data virtualization, and managing diverse data formats (e.g., JSON, XML, CSV).
Strong knowledge in DWH/ODS, ETL concept and modeling structure principles is essential. The ideal candidate should have a clear understanding of DW Lifecycle and contributed in preparing technical design documents and test plans.
We are looking for a skilled professional who can drive innovation and excellence in our organization.
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