Senior SAP HANA Data Warehousing Developer

We are looking for an experienced Senior SAP HANA Data Warehousing Developer to join a global leader in semiconductor manufacturing and high-tech innovation.

In this role, you will design, develop, and optimize advanced data models and backend solutions to support complex analytics across manufacturing, engineering, and operations. You will collaborate with cross-functional teams to deliver scalable, high-performance data solutions. If you are passionate about data architecture and performance optimization, we encourage you to apply.

Responsibilities

• Design SAP HANA native models including Calculation Views, CDS Views, Procedures, and SQLScript
• Develop and optimize ETL pipelines for SAP and non-SAP systems
• Collaborate with cross-functional teams to implement scalable data architectures
• Create end-to-end data workflows ensuring accuracy and resolving discrepancies
• Enhance business processes with custom analytics and KPI tracking
• Optimize database performance for large datasets leveraging in-memory capabilities
• Participate in Agile processes including sprints, planning, and retrospectives
• Gather and analyze requirements alongside engineers, business analysts, and architects
• Document technical processes, best practices, and solution guidelines
• Ensure compliance with export control regulations during project execution

Requirements

• 3+ years experience in SAP HANA development
• Expertise in native SAP HANA modeling including Calculation Views and SQLScript
• Strong background in ETL workflow design and maintenance
• Experience integrating SAP ECC, SAP S/4HANA, or legacy systems into data workflows
• Advanced skills in database tuning and performance optimization
• Proficiency in Agile methodologies and collaboration tools such as JIRA and Confluence
• Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related
• Excellent problem-solving and troubleshooting abilities
• Strong communication skills and ability to work collaboratively
• English language proficiency B2 (Upper-Intermediate)

Nice to have

• Industry experience in manufacturing or engineering analytics
• Knowledge of SAP Datasphere
• Experience with SAP Data Intelligence
• Familiarity with modern SAP integration tools

We offer

• International projects with top brands
• Work with global teams of highly skilled, diverse peers
• Healthcare benefits
• Employee financial programs
• Paid time off and sick leave
• Upskilling, reskilling and certification courses
• Unlimited access to the LinkedIn Learning library and 22,000+ courses
• Global career opportunities
• Volunteer and community involvement opportunities
• EPAM Employee Groups
• Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn