Senior SAP Data Engineer - Scalable Cloud Pipelines

EPAM Systems, Inc.; United States; Remote; USD 140,000 - 180,000; Full time

Benefits offered by this job

Healthcare benefits

Paid time off

Upskilling and certifications

Global career opportunities

Employee learning resources

Job summary

EPAM Systems, Inc. is seeking an experienced Senior SAP Data Engineer to join our data and analytics team. You will design, build, and maintain scalable data pipelines bridging SAP data with modern cloud architectures.

You will work with SAP Datasphere, Data Cloud, Spark, and CI/CD data workflows, ensuring data quality, governance, and metadata. Collaboration with stakeholders across the enterprise is essential.

Qualifications

• 5+ years of experience in data engineering, data warehousing, or large-scale data integration.
• Proven experience with SAP Datasphere and SAP Business Data Cloud.
• Strong SQL and Python/Java for data pipeline development.
• Experience with Spark for distributed processing and data transformation.
• Knowledge of data governance, metadata, and data lineage concepts.

Responsibilities

• Design, build, and optimize scalable batch and streaming data pipelines.
• Integrate SAP ERP/S4HANA and external sources into modern cloud data architectures.
• Deliver reusable, governed Data Products for analytics and operations.
• Collaborate with governance, architects, and stakeholders to define data standards.
• Automate CI/CD data workflows and ensure data quality and security.

Skills

SAP Datasphere

Apache Spark

SQL

Python/Java

Data modeling

Data product thinking

Tools

Collibra

AWS/Azure/GCP

CI/CD tooling

Job description

EPAM Systems, Inc. is seeking an experienced Senior SAP Data Engineer to join our data and analytics team. You will design, build, and maintain scalable data pipelines bridging SAP data with modern cloud architectures.

You will work with SAP Datasphere, Data Cloud, Spark, and CI/CD data workflows, ensuring data quality, governance, and metadata. Collaboration with stakeholders across the enterprise is essential.