Description

Design and build scalable data infrastructure and pipelines for data science and analytics teams.

This role is on-site.

Responsibilities

• Architect and implement complex, scalable data pipelines for massive datasets.
• Own key components of the data warehouse, ensuring optimal performance and reliability.
• Write efficient SQL and Python code for data processing and analysis.
• Drive data quality and AI-readiness initiatives across the organization.
• Define standards and best practices to elevate data engineering capabilities.

Required Skills

• 5+ years of experience in data engineering.
• Proficiency in SQL and Python.
• Experience designing and building data pipelines.
• Strong understanding of data warehouse architecture.
• Ability to work with massive datasets in enterprise environments.
• Knowledge of data science and analytics principles.
• Experience with AI-driven insights solutions.

Preferred Skills

• Experience with Google Cloud Platform.
• Proven track record in scalable data infrastructure design.

Key Skills

Education

Any Graduate