Sr Data Engineer
Posted
Role: Sr. Data Engineer
Location: Remote (USA)
Max Rate: $65/hr
About the role
We are seeking a Senior Data Engineer with strong expertise in SAP sales data domains and data warehouse development. The ideal candidate will have deep proficiency in SQL, hands-on experience working with SAP data as source (orders, shipments, backlog, invoices), and the ability to design and build robust data pipelines and models.
Responsibilities :
Key Skills:
Nice to Have
Location: Remote (USA)
Max Rate: $65/hr
About the role
We are seeking a Senior Data Engineer with strong expertise in SAP sales data domains and data warehouse development. The ideal candidate will have deep proficiency in SQL, hands-on experience working with SAP data as source (orders, shipments, backlog, invoices), and the ability to design and build robust data pipelines and models.
Responsibilities :
- Design, develop, and maintain data pipelines for SAP sales data (orders, shipments, backlog, invoices)
- Translate SAP data structures into analytics-ready data models within Snowflake enterprise data warehouse
- Perform data extraction, transformation, and loading (ETL/ELT) from SAP into Snowflake medallion layers
- Build and optimize complex SQL queries for large-scale data processing
- Collaborate with business and analytics teams to ensure accurate representation of sales metrics
- Ensure data quality, consistency, and performance optimization across pipelines
- Support reporting and analytics use cases related to sales performance and operations
Key Skills:
- Strong SAP data expertise (SD module preferred) demonstrates deep understanding of: Sales Orders, Shipments / Deliveries, Backlog, Billing / Invoices
- Advanced SQL proficiency (must-have)
- Proven experience in data warehouse development (dimensional modeling, fact/dimension design, etc.)
- Experience as a Senior Data Engineer in enterprise environments
- Strong understanding of data integration patterns and ETL/ELT design
Nice to Have
- Experience with Snowflake, dbt
- Exposure to modern cloud data platforms (AWS/Azure)
