Description

You will build and maintain data pipelines using distributed computing frameworks and cloud infrastructure.

This role is on-site.

Responsibilities

• Develop and optimize data processing workflows using PySpark.
• Manage and scale data workloads within Databricks environments.
• Utilize AWS services to support data engineering architecture.
• Monitor system logs and performance metrics using Splunk.

Required Skills

• 8+ years of experience in data engineering roles.
• Proficiency with PySpark for large-scale data processing.
• Hands-on experience with Databricks.
• Direct experience working within AWS environments.
• Experience using Splunk for monitoring and analysis.
• Bachelor's degree or equivalent graduate-level education.

Key Skills

Education

Any Graduate