Description

You will design, implement, and maintain data engineering solutions using PySpark and Azure Databricks to support analytics initiatives.

This role is on-site.

Responsibilities

• Build and maintain efficient data pipelines for analytics.
• Optimize data processing workflows for performance and reliability.
• Design data architecture involving data lakes and data warehouses.
• Execute ETL processes and data integration tasks.
• Document technical solutions and report on pipeline status.

Required Skills

• 5+ years of experience in data engineering.
• Proficiency in PySpark and Azure Databricks.
• Strong programming skills in Python and SQL.
• Hands-on experience with Microsoft Azure cloud platforms.
• Deep understanding of big data concepts, data lakes, and data warehouses.
• Experience managing ETL processes and data integration.
• Strong problem-solving and debugging capabilities.

Preferred Skills

• Relevant certifications in PySpark or Azure.

Key Skills

Education

Any Graduate