Description

You will design and maintain data pipelines and MLOps workflows using Azure Databricks and Azure Data Factory.

This role is on-site.

Responsibilities

• Build and maintain scalable data pipelines using Azure Databricks and Azure Data Factory.
• Manage data storage and processing within Azure Data Lake.
• Implement MLOps workflows to support machine learning production environments.
• Coordinate technical team workflows and manage direct client communication.

Required Skills

• 10+ years of professional experience in data engineering.
• Expertise in Azure Databricks and Azure Data Factory.
• Hands-on experience with Azure Data Lake.
• Proficiency with ETL tools and experience working with Snowflake.
• Strong knowledge of MySQL and PostgreSQL.
• Experience in Machine Learning operations (MLOps).
• Ability to manage teams and coordinate directly with clients.

Preferred Skills

• Additional experience with diverse data warehousing and ETL tools.

Education: Any Graduate degree.

Key Skills

Education

Any Graduate