Description

You will design and implement data architecture solutions focused on data domain modeling.

Responsibilities

• Design and implement data mart schemas consolidating key data categories from source systems.
• Collaborate with stakeholders to define requirements and map source and calculation logic.
• Develop, implement, and optimize ETL processes and data pipelines using Databricks.
• Create reporting environments for data analytics using Databricks and ThoughtSpot.
• Maintain documentation covering data mart architecture, models, ETL processes, and governance.

Required Skills

• 5+ years of experience in Data Analysis, Metadata Management, and Data Lineage.
• Proficiency in Data Architecture, Data Warehousing, and Data Modeling.
• Hands-on experience with Python.
• Experience with Databricks and Snowflake.
• Proven ability to manage and deliver complex data projects.
• Understanding of data discovery and accessibility principles.

Key Skills

Education

Any Graduate