Description

Design and build reliable data pipelines that transform complex datasets into valuable business insights.

This role is remote.

Responsibilities

• Design and build reliable data pipelines that transform complex datasets into valuable business insights.
• Optimize data infrastructure to support large-scale analytics and data-driven products.
• Collaborate with global teams to deliver high-impact data solutions in a fast-moving environment.
• Support AI-ready data solutions and maintain data pipeline performance standards.
• Improve data quality, efficiency, and accessibility for teams relying on advanced analytics.

Required Skills

• 5+ years of experience in data engineering.
• Expertise in building and optimizing data pipelines for large-scale analytics.
• Proficiency with Spark and PySpark for data processing.
• Strong SQL skills.
• Experience with Databricks.
• Background in ETL roles and responsibilities.
• Understanding of data infrastructure and analytics.

Preferred Skills

• Experience contributing to scalable data infrastructure.
• Familiarity with AI solutions development.

Key Skills

Education

Any Graduate