Cloud Data Engineer
- Full-time
- Legal Entity: Bosch Global Software Technologies Private Limited
Company Description
Bosch Global Software Technologies Private Limited is a 100% owned subsidiary of Robert Bosch GmbH, one of the world's leading global supplier of technology and services, offering end-to-end Engineering, IT and Business Solutions. With over 28,200+ associates, it’s the largest software development center of Bosch, outside Germany, indicating that it is the Technology Powerhouse of Bosch in India with a global footprint and presence in the US, Europe and the Asia Pacific region.
Job Description
Roles & Responsibilities:
Design, develop, and maintain robust data pipelines and architectures using Python, MS SQL, Oracle SQL, and Azure Databricks
Collaborate with international, cross-functional teams to gather requirements and deliver scalable data solutions
Integrate and manage supply chain data using SAP R/3 and S/4
Apply Agile methodologies (e.g., Scrum) to ensure efficient project execution and continuous improvement
Analyze complex datasets to extract actionable insights for strategic decision-making
Conduct testing, deployment, and maintain comprehensive code and project documentation
Qualifications
Educational qualification:
Master’s degree in computer science, Data Science, or a related field—or equivalent practical experience
Technical Skills:
Minimum 8 years of experience in data engineering, analytics, or data science (Senior Level)
High proficiency in Python, MS SQL, Oracle SQL, GitHub and Azure Databricks
Strong knowledge of SAP R/3 and S/4 and its application in supply chain management
Understanding of logistics processes, supply chain management and Bosch data architecture
Soft Skills:
Excellent analytical and problem-solving abilities with strong attention to detail
Effective communication skills in English (C1 level), both written and verbal
Experience working in Agile environments, with tools like Jira and Confluence
Ability to work independently and collaboratively in a dynamic, international team setting
Additional Information
8+ years of experience in data engineering, analytics, or data science.