Bosch—Data Engineer · AI

Job description

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 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. - 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. - 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. - 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. - 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