Business Data Cloud - Data Product Runtime Team

Job Description

We help the world run better Job Title: Engineer - Business Data Cloud - Data Product Runtime Team Job Description: As a n Engineer in the Data Product Runtime Team , you will be a crucial part of the team expansion in Bangalore, contributing to SAP Business Data Cloud initiatives. This role offers an opportunity to learn from experienced engineers and develop skills in Spark optimization, scalable data processing, and data transformation pipelines as part of SAPs Data & AI strategy. Responsibilities: Support the implementation and evolution of a scalable data processing framework running on Spark. Participate in the creation and optimization of pluggable data transformation pipelines. Optimize CI/CD workflows using GitOps practices. Apply SQL skills in support of data transformation initiatives. Learn to incorporate AI & ML technologies into engineering workflows. Engage with SAP HANA Spark in data processing tasks. Collaborate with global colleagues for effective project contribution. Qualifications: Basic experience in data engineering and distributed data processing. Proficiency in Python (PySpark) is essential; knowledge of Scala and Java is beneficial. Familiarity with Spark optimization and scalable data processing. Foundation in developing data transformation pipelines. Experience with Kubernetes, GitOps , and modern cloud stacks . Interest in AI & ML technologies and industry trends. Good communication skills for effective collaboration in a global team. Eagerness to learn about SAP Data Processing solutions and platform initiatives. Bring out your best . Successful candidates might be required to undergo a background verification with an external vendor. Requisition ID: 426942 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid. Requisition ID: 426942 Posted Date: May 27, 2025 Work Area: Software-Design and Development Career Status: Professional Employment Type: Regular Full Time Expected Travel: 0 - 10% Location: