Join our team as a Consultant specializing in Databricks and PySpark for data modernization and migration projects. This role focuses on developing and enhancing data assets to drive business insights.

We are seeking a Data Asset Developer with a strong foundation in data architecture and a passion for building robust data solutions. Your expertise will be crucial in transforming raw data into valuable assets.

Design and implement scalable data pipelines using PySpark/Spark on Databricks. Develop and maintain data models utilizing star and snowflake schemas. Contribute to data architecture, data modeling, and database design processes. Leverage Databricks notebooks and Unity Catalog for efficient data management and development. Write Python scripts for data manipulation and automation.

A minimum of 3 years of comprehensive experience in data-related roles is required. Demonstrated proficiency in data architecture, data modeling, and database design principles. Proven ability to design effective star and snowflake schema-based data models. Strong command of Python programming for scripting and web development is essential. Hands-on experience with Databricks notebooks and Unity Catalog is expected. Solid background in constructing scalable data pipelines with PySpark/Spark.