Description

Lead data management, design, and development efforts within a Databricks environment, owning end-to-end data architecture across AWS and Azure cloud stacks.

Responsibilities

• Design and develop scalable data solutions using Databricks and Spark.
• Implement ETL processes and data warehousing methodologies.
• Build and maintain conceptual, logical, and physical data models.
• Manage data architecture across AWS and Azure cloud environments.

Required Skills

• 10+ years of experience in Data & Analytics.
• Hands-on experience with Databricks and Spark.
• Proficiency in Python, PySpark notebooks, and Spark SQL.
• Deep knowledge of ETL and Data Warehousing concepts and strategies.
• Strong expertise in Data Modeling.
• Practical experience with SQL.
• Experience working with AWS or Azure cloud technology stacks.

Preferred Skills

• AWS certification.
• Azure certification.

Key Skills

Education

Any Graduate