We are seeking a highly skilled Senior Data Engineer to join our team. As a key member, you will work across multiple data and analytics platforms.
About the Role:
* You will develop and optimize data pipelines using Python and SQL in Azure Databricks Notebooks.
* Design and implement ETL/ELT workflows in Azure Data Factory for efficient data transformation and loading.
* Apply dimensional modeling best practices for scalable and structured data solutions.
* Implement and maintain CI/CD pipelines using Azure DevOps for automated deployments and version control with Git.
About You:
* Strong proficiency in Python for data transformation, automation, and pipeline development.
* Advanced SQL skills for query optimization and performance tuning in Databricks Notebooks.
* Familiarity with dimensional modeling principles, including fact and dimension tables, star/snowflake schemas.
* Knowledge of structuring data lakes with bronze, silver, and gold layers.
* Familiarity with data modeling best practices for analytics and business intelligence.
What We Offer:
* A dynamic and collaborative work environment.
* Opportunities for professional growth and development.
* A competitive salary and benefits package.