Description

You will design and optimize large-scale data platforms and analytics architectures.

Responsibilities

• Deliver hands-on development using Databricks to build scalable data solutions.
• Optimize data pipelines for performance and scalability.
• Implement CI/CD workflows for production deployments.
• Apply MLOps principles to support machine learning workflows.
• Manage distributed computing tasks using Spark.

Required Skills

• 15+ years of total IT experience.
• 7+ years of experience in data engineering, data platforms, and analytics.
• Deep experience with Spark and Spark runtime internals.
• Hands-on Databricks development and platform feature expertise.
• Working knowledge of at least one cloud platform: AWS, Azure, or GCP.
• Experience with CI/CD for production environments.
• Working knowledge of MLOps.
• Completed data engineering professional certification and required coursework.
• Degree in any field (Any Graduate).

Key Skills

Education

Any Graduate