Data Engineer_AI
Bosch (Robert Bosch LLC) (company site, opens in a new tab)3–6 yrsBengaluruOn-siteDirect career pageEst. 12–22 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 and PySpark for large-scale data processing.
- Design and build data models, automated CI/CD pipelines, and reusable data engineering frameworks to ensure data quality, reliability, and performance.
- Create and integrate Power BI reports and dashboards using DAX, Power Query, and Azure cloud data engineering tools to support analytics and business applications.
Minimum Requirements
- 2 to 5 years of relevant work experience in data engineering.
- Bachelor’s or Master’s degree in Electronics, Electrical Engineering, or Computer Science Engineering.
- Proficiency in Python, PySpark, and Microsoft Power BI including DAX and Power Query.
- Experience with Databricks and familiarity with Azure Cloud Data Engineering tools.
Ideal Candidate Profile
- Experienced in end-to-end data pipeline development and automation within cloud environments, particularly using Databricks and Azure services.
- Strong skills in building scalable data models and integrating data visualization tools to enhance business decision-making.
- Comfortable operating in international, multi-cultural teams and collaborating with reliability and analytics groups.