Jobs → Data & Analytics → Python/PySpark Data Engineer

About the Role We are looking for a highly skilled Python/PySpark Data Engineer to design and build scalable data ingestion and integration pipelines across enterprise data sources and metadata platforms. Key Responsibilities • Design and build scalable data ingestion and integration pipelines • Work with enterprise data sources and metadata platforms • Implement ETL/ELT processes and data warehousing solutions • Manage metadata, data lineage, and data governance • Integrate REST APIs and batch data processing Requirements • Strong experience with Python, PySpark, and Apache Spark • Knowledge of Oracle/SQL and relational databases • Experience with REST API integration • Understanding of ETL/ELT, data warehousing, and data modeling • Familiarity with metadata management, data lineage, and data governance • Experience with batch data ingestion and integration pipelines • Experience with enterprise data frameworks