Position Overview
We are looking for a skilled Data Engineer with strong expertise in PySpark and Data Modeling to join our Data & Analytics team. The ideal candidate will be responsible for building scalable data pipelines, optimizing data workflows, and supporting advanced analytics initiatives.
Key Responsibilities - Design, develop, and maintain scalable data pipelines using PySpark
- Perform data modeling (conceptual, logical, and physical) for analytics and reporting
- Build and optimize ETL/ELT workflows for largeβscale datasets
- Work with structured and unstructured data across multiple sources
- Ensure data quality, integrity, and governance standards
- Collaborate with data analysts, scientists, and business stakeholders
- Optimize performance of Spark jobs and data processing systems
- Support deployment and monitoring of data solutions in production
Required Skills & Qualifications