Found Description
- Develop & Scale Pipelines: You design and implement robust ETL/ELT pipelines to process large, complex volumes of data (Big Data) using both code-based and visual tools.
- Semantic Data Modeling: You translate complex business processes into logical data models and help build a centralized, cross-departmental enterprise data model.
- Data Quality & Lineage: You implement automated quality checks and monitor data flows from source to end product to guarantee seamless data lineage.
- Code & Transformation: You write clean, high-performance code in PySpark and SQL to clean, aggregate, and prepare data for downstream analysis.
- Cross-Functional Collaboration: You work closely with Data Scientists, Business Analysts, and business departments to quickly translate their requirements into production-ready data structures.
- Initial practical experience in Data Engineering (as a Junior, e.g., through relevant internships/working s...