Data Engineer with SAP BW

Upstaff LTD; United States; Remote; USD 120,000 - 150,000; Full time

Job summary

Upstaff LTD is seeking a Data Engineer specialized in SAP BW migration to a modern Databricks-based platform. The role emphasizes migrating architectures, data models, and business logic with a focus on data accuracy and integrity using automated and LLM-based code translation tools.

The engineer will design target data models, build scalable pipelines, and collaborate with business and technical teams to validate migrated datasets and transformations within an enterprise finance context.

Qualifications

• Experience migrating SAP BW architectures and data models.
• Design and develop Databricks data pipelines.
• Experience with AWS or similar cloud platforms.

Responsibilities

• Review SAP BW architecture, data models, and business logic for migration scope.
• Design and develop target data models and pipelines in Databricks.
• Migrate data and logic from SAP BW to Databricks while preserving accuracy and integrity.
• Support overall solution architecture and migration strategy using automated/LLM-based tools where appropriate.
• Collaborate with business and technical teams to validate migrated datasets and transformations.

Skills

Data modeling

Data engineering

English communication

Tools

Databricks

SAP BW

AWS

LLM-based tools

Job description

• Engineer specializes in data migration and engineering with extensive experience in SAP BW architecture, data modeling, and business logic transformation.
• Experienced in designing and developing scalable data pipelines using Databricks and AWS cloud platforms.
• Skilled in leveraging LLM-based tools for automated code conversion and migration, ensuring data integrity and consistency.
• Demonstrated success in large-scale enterprise projects, particularly within finance domains, with collaboration across business and technical teams.

Job Description

Role Overview

The Data Engineer with SAP BW is responsible for reviewing and migrating existing SAP BW architectures, data models, and business logic to a modern data platform using Databricks. This role requires strong expertise in data engineering, data modeling, and cloud technologies, with a focus on ensuring data accuracy, integrity, and consistency throughout the migration process by utilizing automated and LLM-based code conversion tools to enhance efficiency. The engineer will collaborate closely with both business and technical teams to validate the migrated datasets and transformations, supporting the overall solution architecture and migration strategy.

Responsibilities

• Review current SAP BW architecture, data models, and business logic to determine the scope of the migration.
• Design and develop target data models and data pipelines within Databricks.
• Transfer and transform data and business logic from SAP BW to Databricks while maintaining data accuracy, integrity, and consistency.
• Support the overall solution architecture and migration strategy, including leveraging automated or LLM-based code conversion tools where appropriate.
• Work closely with business and technical teams to validate migrated datasets, transformations, and business logic.

Skills and Qualifications

• Strong hands-on experience with Databricks.
• Proven track record in delivering data migration projects, preferably in large-scale or enterprise environments.
• Practical experience with SAP BW, including understanding of its data structures, models, and business logic.
• Solid background in data modeling, business intelligence, and data engineering.
• Strong experience with AWS or similar cloud platforms.
• Experience using LLM-based tools for code translation, transformation, or migration activities.
• Strong English communication skills.

Additional Desirable Experience

• Previous experience in the finance domain.
• Experience working within large enterprise organizations.

Technologies and Tools: SAP BW, Databricks, AWS (or similar cloud platform), LLM-based tools for code translation and migration, data modeling and BI tools.