Description

You will design and manage large-scale cloud data architectures and processing pipelines.

This role is hybrid.

Responsibilities

• Build and maintain data lakes and data warehousing solutions.
• Develop and optimize ETL processes across cloud environments.
• Manage cloud data platform components including clusters, jobs, and workspaces.
• Implement CI/CD pipelines to automate data engineering workflows.
• Analyze and resolve complex technical issues within the data infrastructure.

Required Skills

• 12+ years of experience in data engineering or related roles.
• Proficiency with cloud platforms such as Azure, AWS, or Google Cloud.
• Hands-on experience with Snowflake or similar cloud data platforms.
• Strong programming skills in Python, Java, or Scala.
• Deep understanding of data lakes and ETL processes.
• Knowledge of relational and NoSQL databases.
• Experience with Infrastructure as Code (IaC) using Terraform or CloudFormation.
• Practical understanding of DevOps principles and CI/CD pipelines.
• Bachelor's degree or equivalent experience.

Preferred Skills

• Deep expertise in Databricks architecture and workspace management.

Key Skills

Education

Any Graduate