Description

Design, build, and optimize scalable data pipelines and infrastructure across cloud platforms.

This role is hybrid.

Responsibilities

• Build and maintain scalable data pipelines using Python, Pandas, NumPy, and PySpark.
• Design advanced data models and optimize complex SQL queries for performance.
• Deploy and manage data services across Azure, AWS (S3, Redshift), and GCP (BigQuery).
• Containerize applications using Docker for consistent deployment environments.
• Translate complex data lineage into clear insights for non-technical stakeholders.

Required Skills

• 7+ years of total relevant experience in data engineering or similar roles.
• Strong Python programming skills with deep experience in Pandas, NumPy, and PySpark.
• Advanced SQL expertise including query optimization and database design.
• Hands-on experience with Azure cloud data services.
• Proficiency with AWS (S3, Redshift) and Google Cloud (BigQuery).
• Experience with Docker for containerization.
• Ability to explain technical concepts to non-technical stakeholders.

Key Skills

Education

Any Gradute