Description

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

Responsibilities

• Develop and modify EDW architecture, including data models, integration strategies, and migration workflows.
• Design and implement ETL processes to extract, transform, and load data into the EDW via Databricks.
• Collaborate with business stakeholders to translate data needs and KPIs into technical warehouse requirements.
• Monitor and optimize EDW performance to ensure efficient query response times and data access.
• Provide technical leadership and guidance on data warehousing tools, technologies, and best practices.

Required Skills

• 10+ years of experience as a Data Warehouse Data Engineer.
• Expertise in Databricks for data modernization projects.
• Deep understanding of data warehousing concepts, dimensional modeling, and star schema.
• Proficiency in SQL and DBMS.
• Experience with data integration tools for ETL development and data cleansing.
• Ability to design Databricks schemas and data quality standards.
• Strong communication skills for collaborating with analysts and application developers.
• Bachelor's degree or equivalent graduate level education.

Key Skills

Education

Any Gradute