Description

Key Skills: Spark, PySpark, SQL, Databricks, Data Pipeline Development, Data Engineering, Analytics, AI Solutions, Data Infrastructure, ETL

Roles & 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
• Work with modern data technologies including Spark, PySpark, SQL, and Databricks for data processing
• Collaborate with global teams in a fast-moving environment to deliver high-impact data solutions
• Contribute to the foundation of scalable data infrastructure while developing technical expertise
• Improve data quality, efficiency, and accessibility for teams relying on advanced analytics
• Support AI-ready data solutions and maintain data pipeline performance standards

Experience Required: Experience in data engineering with expertise in building and optimizing data pipelines for large-scale analytics

Key Skills

Education

Any Graduate