Data Engineer (PySpark, SQL, AWS, Databricks)

Key Responsibilities : Design, develop, and manage robust data pipelines using PySpark and SQL. Work with AWS services to implement data solutions. Utilize Databricks for data processing and analytics. Collaborate with data scientists, analysts, and other stakeholders to understand data requirements. Ensure data quality and integrity throughout the data lifecycle. Optimize and maintain existing data architectures. Troubleshoot and resolve data-related issues. Requirements : Proven experience as…