Data Platform Engineer  

Summary:
As a Data Platform Engineer, you will be responsible for assisting with the blueprint and design of the data platform components. Your typical day will involve collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models using Databricks Unified Data Analytics Platform.

Roles & Responsibilities:
- Assist with the blueprint and design of the data platform components using Databricks Unified Data Analytics Platform.
- Collaborate with Integration Architects and Data Architects to ensure cohesive integration between systems and data models.
- Develop and maintain ETL processes using Extract Transform and Load (ETL) tools.
- Design and implement data models and database schemas using Microsoft SQL Server.
- Troubleshoot and optimize data platform performance issues.
- Ensure data quality and integrity through data validation and testing.
- Develop and maintain data platform documentation.
- Provide technical guidance and support to cross-functional teams.

Work Set-up: Hybrid (2x a week RTO)

Professional & Technical Skills:
- Required Skill: Expert proficiency in Databricks Unified Data Analytics Platform.
- Additional Must To Have Skills: None
- Additional Good To Have Skills: Extract Transform and Load (ETL), Microsoft SQL Server, Python (Programming Language).
- Strong understanding of data modeling and database design principles.
- Experience with data validation and testing techniques.
- Experience with troubleshooting and optimizing data platform performance issues.
- Experience with data platform documentation.
- Excellent communication and collaboration skills.

Must have and Good to have skills: Need experience in Databricks Unified Platform Catalog or Azure Databricks, Advanced SQL, Python or PySpark skills; also familiarity with Cloud Platforms (like Azure, AWS, GCP) would be a plus. Experience in Agile Methodology.