Data Engineer Developer for Projects

  • 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 22,700 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

We are actively searching for highly proficient and driven Data Engineers with a minimum of 3 years of experience to enhance our team. The perfect candidate will possess solid knowledge in data engineering, expertise with cloud technologies (Azure or AWS), and proficiency in Python programming. The responsibilities include crafting, developing, and deploying digital twin solutions that emulate and optimize real-world systems and processes. Key Responsibilities 

  • Create and refine digital twin solutions that accurately mirror physical assets and processes in a digital format. 
  • Collaborate with cross-functional teams such as testing, DevOps, and Customer Solutioning to gather requirements and convert them into actionable technical designs. 
  • Construct and manage data pipelines and integration workflows to support digital twin models. 
  • Leverage cloud platforms like Azure or AWS to deploy, manage, and scale digital twin solutions. 
  • Produce and maintain robust Python code for data handling, whether as APIs or standalone applications, alongside analytics and simulation tasks. 
  • Integrate real-time data from IoT devices and sensors into the digital twin models, enhancing their accuracy and functionality. 
  • Guarantee the security, scalability, and efficiency of the digital twin solutions. 
  • Specialize in implementing serverless concepts (Azure Functions, Lambda), ML inferencing. 
  • Stay informed of the latest advancements in digital twin technology, cloud computing, and data engineering. 

Qualifications

A Bachelor’s degree in Computer Science, Engineering, or a related discipline.

Additional Information

3+ years

Privacy PolicyImprint