Description

You will design and maintain data architectures and pipelines within cloud environments.

Responsibilities

• Build and optimize data pipelines using PySpark and Python.
• Manage and query large datasets using Hive and SQL.
• Maintain and scale data warehouse structures.
• Implement data solutions across Azure and AWS platforms.
• Communicate technical requirements and data workflows clearly.

Required Skills

• 15+ years of experience in data engineering.
• Proficiency in Python and PySpark.
• Advanced SQL skills.
• Experience with Hive.
• Hands-on experience with Data Warehouse architecture.
• Experience working in Azure or AWS environments.
• Strong communication skills.
• Bachelor's degree or equivalent experience.

Key Skills

Education

Any Graduate