Data Engineer_AI
Bosch (Robert Bosch LLC) (company site, opens in a new tab)3–6 yrsBengaluruOn-siteDirect career pageEst. 12–20 LPA
Posted on 9 Sept
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Job description
Structured overview of role & requirements
About This Role
- Develop and maintain ETL/ELT data pipelines using Databricks with Python and PySpark for large-scale data processing.
- Design, build, and deploy data models, transformations, CI/CD pipelines, and reusable data engineering frameworks to ensure data quality, reliability, and performance.
- Create and integrate Power BI dashboards and reports using DAX expressions and Power Query; collaborate with reliability engineers on Power BI visualizations.
Minimum Requirements
- Bachelor’s or Master’s degree in Electronics, Electrical Engineering, or Computer Science Engineering.
- 2 to 5 years of experience in data engineering, including building and maintaining data pipelines using Databricks.
- Proficiency in Python, PySpark, Microsoft Power BI (including DAX and Power Query), and familiarity with Azure Cloud data engineering tools.
- Work Experience Required: 2 to 5 years
Ideal Candidate Profile
- Experienced in end-to-end data engineering supporting analytics and reporting workflows in an enterprise environment.
- Comfortable working with cross-functional international teams and integrating data engineering outputs into business applications.
- Familiar with automation, CI/CD pipelines, and ensuring data pipeline quality and performance in cloud-based platforms, preferably Azure.