Senior Data Engineer

2 months ago


Singapur, Singapore SAP Full time

About SAP

SAP is a leading provider of enterprise software solutions, helping over 400,000 customers worldwide to work more efficiently and effectively. With a strong focus on innovation, SAP has evolved from a leader in enterprise resource planning (ERP) software to a market leader in end-to-end business application software and related services.

Our Mission

We are a purpose-driven and future-focused company, committed to personal development and collaboration. Our team is dedicated to improving, automating, and transforming the customer support business of SAP using Machine Learning and Data-driven Innovation.

Job Summary

We are seeking a Senior Data Engineer to join our Data Science and Technology focused team. As a key member of our team, you will be responsible for designing, building, and operating our data pipelines and data storage aspects of our solutions.

Key Responsibilities

  • Design, build, and operate data pipelines and data storage aspects of our solutions
  • Focus on enterprise-grade delivery of data pipelines in a compliant way, touching data privacy, data protection, anonymization, and compliant software development practices
  • Work with a highly collaborative team to improve, automate, and transform the customer support business of SAP using Machine Learning and Data-driven Innovation

Requirements

  • University degree in a technical field
  • Practical data processing skills, especially with unstructured text
  • UNIX/LINUX Operating system savvy
  • Solid foundation in computer science
  • Applied knowledge in Python & Spark
  • Experience building and optimizing big data pipelines
  • Creative thinking, willingness, and ability to learn new concepts and technologies
  • Fluent in English

About the Team

We are a Data Science and Technology focused team, established a data lake platform used by more than 150 Data Scientists in Service and Support. Our team is dedicated to improving, automating, and transforming the customer support business of SAP using Machine Learning and Data-driven Innovation.


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