Senior Data Engineer

About this role

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Skills you'll use

What you'll do

• SAP Data Ingestion & Integration
• Design and implement robust ingestion patterns from SAP source systems (S/4HANA/ECC/BW/HANA) and other cloud source systems into Snowflake using enterprise-approved integration tools.
• Build and maintain incremental loads (CDC), batch pipelines, and near-real-time ingestion where needed.
• Understand SAP functional domains and data structures (e.g., FI/CO, MM, SD, PP) to map business requirements to data models.
• Snowflake Data Engineering & Modeling
• Develop and optimize ELT/ETL pipelines leveraging Snowflake capabilities (e.g., Snowpipe, Streams & Tasks, Dynamic Tables where applicable).
• Create and maintain curated dimensional and/or data vault models, conformed dimensions, and reusable fact tables for cross-functional analytics.
• Implement data quality checks, reconciliation controls (source-to-target), and exception handling for SAP extracts.
• Performance, Cost, and Reliability Optimization
• Tune queries and pipelines for performance using clustering strategies, caching awareness, pruning, warehouse sizing, and workload separation.

Who can apply

• SAP Data Ingestion & Integration
• Design and implement robust ingestion patterns from SAP source systems (S/4HANA/ECC/BW/HANA) and other cloud source systems into Snowflake using enterprise-approved integration tools.
• Build and maintain incremental loads (CDC), batch pipelines, and near-real-time ingestion where needed.
• Understand SAP functional domains and data structures (e.g., FI/CO, MM, SD, PP) to map business requirements to data models.
• Snowflake Data Engineering & Modeling
• Develop and optimize ELT/ETL pipelines leveraging Snowflake capabilities (e.g., Snowpipe, Streams & Tasks, Dynamic Tables where applicable).
• Create and maintain curated dimensional and/or data vault models, conformed dimensions, and reusable fact tables for cross-functional analytics.
• Implement data quality checks, reconciliation controls (source-to-target), and exception handling for SAP extracts.
• Performance, Cost, and Reliability Optimization
• Tune queries and pipelines for performance using clustering strategies, caching awareness, pruning, warehouse sizing, and workload separation.

About KLA

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