Big Data Engineer

Responsibilities

• Design, build, and maintain scalable data pipelines using PySpark and Spark SQL
• Process and transform large volumes of structured and semi-structured test data
• Implement efficient ETL/ELT workflows for data ingestion, cleaning, and aggregation
• Optimize Spark jobs for performance, reliability, and cost efficiency
• Design data models and curated datasets optimized for analytics and reporting
• Implement data validation, monitoring, and quality checks
• Prepare analysis-ready datasets to support Tableau dashboards and reports
• Collaborate with global teams of data engineers, test engineers, and product stakeholders

Requirements

• 3+ years of experience in data engineering or big data development
• Strong experience with Python and PySpark
• Deep understanding of Spark architecture and distributed data processing
• Proven experience designing ETL pipelines and data models
• Familiarity with SQL and data warehouse concepts
• Experience supporting BI tools, with a preference for Tableau

About the Company

Bosch Group is a leading global technology and services provider. Whether in mobility solutions, consumer goods, industrial technology, or energy and building technology, we provide technologies that improve quality of life all across the globe.