מציאת משרת הייטק בחברות הטובות ביותר מעולם לא הייתה קלה יותר
THE ROLE
As a Data Engineer, you will take responsibility for the development and deployment of new functionalities for the company's data platforms.
You will have the opportunity to practice and develop in-depth knowledge of the following technologies:
Azure-based Cloud platform: Azure Data Lake, Databricks
Data Engineering with Delta Lake, PySpark, Databricks SQL
Applications with SAP Business Technology Platform (HANA Cloud, SAP Analytics Cloud)
You will work in an agile development environment (SAFe) following DevOps best practices (GitHub, Jenkins CI/CD).
As a Senior Data Engineer, you will:
Contribute to the implementation of best-in-class services for our SAP Cloud Data & ML Platform, industrializing the entire Data Engineering pipelines (DevSecOps)
Get involved in all aspects of the entire solution lifecycle, from idea creation to productization
Utilize Azure and BTP cloud infrastructure to evolve and extend our Data Pipeline platform services
Demonstrate excellent skills in product design, architecture and development
Implement high-quality ideas efficiently, with a focus on technical expertise and attention to detail
What you will bring
Bachelor‘s or master’s degree in business informatics, computer science, engineering or related technical fields
Ability to communicate complex concepts in simple terms to a non-technical audience
Good analytical and critical thinking
4+ years of experience in Big Data and Data Engineering pipeline design
Strong proficiency in Python
Experience in Cloud & AI technologies (e.g. Microsoft Azure, Databricks, Spark)
Hands-on experience with Jenkins to automate software development processes
Deep understanding of security design concepts and their integration into system architecture
Job Segment:User Experience, ERP, Cloud, Computer Science, Engineer, Technology, Engineering
משרות נוספות שיכולות לעניין אותך