- 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

- Positive 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 6 to 10 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

Qualifications

Btech/Mtech

📌 Data Engineer_AI (Bengaluru)
🏢 Bosch Global Software Technologies
📍 Bengaluru