Data Platform Engineer

 About The Role  

Project Role :Data Platform Engineer

Project Role Description :Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models.
Must have skills :Snowflake Data Warehouse

Good to have skills :NAMinimum
3 year(s) of experience is required

Educational Qualification :15 years full time education
Summary:As a Data Platform Engineer, you will assist with the data platform blueprint and design, encompassing the relevant data platform components. Your typical day will involve collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models, while also engaging in discussions to refine and enhance the data architecture. You will be actively involved in problem-solving and contributing to the overall success of the data platform initiatives, ensuring that all components work seamlessly together to meet organizational goals. Snowflake Data Architect:Role:Designs the end-to-end data architecture across all layers from source systems to Fabric Gold and DataverseResponsibilities:Analyze existing Snowflake schemas and objects (tables, views, procedures).Identify source systems and tables for full and incremental loads.Optimize Snowflake SQL queries for performance.Implement incremental logic using watermark columns (last updated/created).Export data using Fabric Pipelines or external tools (ADF, Python, etc.).Configure Fabric connectors to access Snowflake securely (via ODBC/JDBC or native Fabric connector).Transfer extracted data to ADLS Gen2 (Raw zone).Use Fabric Shortcuts to link ADLS folders into Lakehouse Bronze layer.Develop pre-migration and post-migration validation queries.Check for row counts, null values, duplicates, and data type mismatches.Participate in reconciliation logic and ensure data completeness.Document Snowflake source tables with metadata.Capture table dependencies and lineage across schemas.Map Snowflake data structures to their equivalents in Fabric.Provide metadata to notebook developers for cleansing in Silver layer.Align with data modelers to map source-to-target fields (Gold layer).
Additional Information:- The candidate should have minimum 3 years of experience in Snowflake Data Warehouse.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 
15 years full time education