Description

You will manage data assets and implement metadata patterns for naming, formatting, securing, and defining data structures.

This role is on-site.

Responsibilities

• Implement metadata patterns to standardize naming, formatting, and security for all data assets.
• Develop data processing pipelines using PySpark and Python.
• Manage data assets within the Azure Databricks environment.
• Write and optimize SQL queries for data manipulation and retrieval.

Required Skills

• 4+ years of professional programming experience.
• Proficiency in Python and PySpark.
• Strong experience with SQL.
• Hands-on experience with Azure Databricks.
• Experience with Angular.
• Competency in defining and securing metadata patterns for data assets.

Preferred Skills

• Any Graduate degree.

Key Skills

Education

Any Graduate