Description

You will lead the design and implementation of enterprise data warehouse architectures and ETL processes.

This role is on-site.

Responsibilities

• Develop and modify enterprise data warehouse architecture, including data models, quality standards, and integration strategies.
• Design and implement ETL processes using Databricks to extract, transform, and load data from various source systems.
• Monitor and optimize EDW performance to ensure efficient data access and query response times.
• Collaborate with business stakeholders to translate data needs and KPIs into technical warehouse requirements.
• Provide technical leadership and guidance on data warehousing technologies and best practices.

Required Skills

• 10+ years of experience as a Data Warehouse Data Engineer.
• Deep expertise in data warehousing concepts, dimensional modeling, and star schema.
• Proven track record implementing Databricks for modernization projects.
• Proficiency in SQL and Databricks.
• Experience with ETL development, data integration, and data cleansing.
• Experience managing data migration and warehousing technologies.
• Strong ability to communicate technical requirements to business users, analysts, and developers.

Preferred Skills

• Experience with enterprise-scale data warehouse architectures.
• Ability to translate business KPIs into technical specifications.

Key Skills

Education

Any Gradute