Description

You will lead the development of scalable data platform capabilities and reusable frameworks.

This role is hybrid.

Responsibilities

• Build reusable frameworks, libraries, and data platform capabilities within Azure and Databricks environments.
• Develop reusable Python-based frameworks to streamline data engineering workflows.
• Design and implement data lake architectures and system designs.
• Integrate and manage data flows via REST and GraphQL APIs.
• Drive system design thinking across the data lifecycle independently.

Required Skills

• 10+ years of professional data engineering experience.
• Expertise in Python for building reusable frameworks and libraries.
• Extensive experience with Azure and Databricks.
• Hands-on experience managing data lake environments.
• Proficiency with REST APIs.
• Proficiency with GraphQL APIs.
• Strong system design thinking capabilities.
• Bachelor's degree or equivalent experience.

Preferred Skills

• Experience building reusable Data Quality (DQ) capabilities.

Key Skills

Education

Any Graduate