Data Engineer - ETL/Python

Skillset:

Primary:

- Configure and manage SNP Glue for SAP ECC data extraction.

- Handle extractor selection delta logic and dependency management.

- Ensure reliable SAP to Snowflake data flows.

- Perform SAP data structure analysis and mapping.

Secondary:

- Knowledge of SAP BW and SAP data models.

- Understanding of downstream ELT and analytics needs.

- Data validation and reconciliation techniques.

Key Responsibilities:

- Design, develop, and maintain SAP data extraction pipelines using SNP Glue.

- Support SAP ECC, BW, and Snowflake data ingestion and migration.

- Implement CDC-based ingestion and enterprise data integration patterns.

- Work with Azure Data Factory (ADF) for orchestration and scheduling.

- Integrate SAP data into analytics platforms for reporting and downstream consumption.

- Collaborate with Data Architects and ETL engineers on ingestion design.

- Ensure data quality, performance, and reliability of SAP data pipelines.

Competencies:

- Integrate SAP data into analytics platforms for reporting and downstream consumption.

- Collaborate with Data Architects and ETL engineers on ingestion design.

- Ensure data quality, performance, and reliability of SAP data pipelines.