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 :

Technical Skills :

Skills Required

Pyspark, Sql, Aws