Description

You will build and manage data pipelines using the Databricks ecosystem.

This role is hybrid.

Responsibilities

• Develop and maintain big data processing frameworks and pipelines.
• Implement Delta Live Tables to manage data workflows.
• Design and optimize data warehouse architectures using Star Schema or Kimball methodology.
• Integrate machine learning models and AI tools into existing data pipelines.
• Utilize AI/BI Genie or similar tools to support business intelligence requirements.

Required Skills

• 5+ years of experience in data engineering roles.
• Proficiency in Python, SQL, and Apache Spark.
• Hands-on experience with Delta Live Tables and big data processing.
• Experience with Data Warehouse Architecture, including Snowflake, Star Schema, or Kimball methodology.
• Working knowledge of cloud platforms such as AWS, Azure, or GCP.
• Understanding of machine learning models and AI pipelines.
• Databricks Certification (e.g., Databricks Certified Professional Data Engineer).
• Degree in any field of study.

Preferred Skills

• Familiarity with AI/BI Genie for business intelligence.

Key Skills

Education

Any Graduate