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 27,000+ 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.

1. Job Description 

   
   

• Develop and maintain ETL/ELT pipelines using Databricks. 

  
  

• Write efficient Pyspark & Python Scripts for large-scale data processing. 

  
  

• Implement data models, transformations and CI/CD pipelines for automation. 

  
  

• Develop reusable data engineering frameworks, libraries and templates for ingestion, transformation, validation and publishing. 

  
  

• Ensure Data Quality, Reliability, and Performance across pipelines and shared frameworks. 

  
  

• Design, develop, test and deploy Power BI scripts and generate visually appearing and insightful reports. 

  
  

• Integrate Power BI reports into Applications to provide enhanced business capabilities. 

  
  

• Build data models and develop dashboards using Power BI desktop. 

  
  

• Work with Reliability Engineers to design and develop Power BI data Visualizations. 

  
  

• Proficient in using DAX expressions and Power Queries for developing and optimizing Power BI dashboards and reports. 

  
  

• Knowledge of Azure Cloud Data Engineering Tools. 

  
  

• Analysis of Validation Test Results. 

  
  

• Development of Interfaces for Measurement and Simulation. 

  
  

• Development and Maintenance of Test Automation system related Tools. 

  
  

• Support Downstream consumers such as analytics, reporting, testing and Reliability teams.  

  
  

1. Desired Skills 

   
   

• Good knowledge of data engineering concepts, ETL/ELT pipelines, and data lifecycle management. 

  
  

• Excellent understanding of data modeling, data transformation, and dashboarding concepts for analytics and reporting. 

  
  

• Proficiency in programming languages including Python and PySpark, with experience in large-scale data processing. 

  
  

• Strong knowledge of data visualization and reporting using Microsoft Power BI including DAX expressions and Power Query. 

  
  

• Familiarity with cloud-based data engineering tools, preferably Microsoft Azure services. 

  
  

• Basic knowledge of electronics and industrial/validation systems is an added advantage. 

  
  

1. Education & Experience 

   
   

• Bachelor’s or Master’s degree in Electronics or Electrical Engineering or Computer Science Engineering with 2 to 5 years of experience. 

  
  

• Hands-on experience in building and maintaining data pipeline solutions using Databricks. 

  
  

• Exposure to data engineering concepts including ETL/ELT workflows, data processing, and automation. 

  
  

1. Soft Skills 

   
   

• Team player with a proactive mind set 

  
  

• Good communication skills 

  
  

• Willing to work in an international team with diverse cultures 

  
  

• Openness for technical discussions, assessments and reviews 

  
  

Btech/Mtech

3-6 Years