Seeking an experienced Senior Consultant with a strong focus on Databricks and PySpark to join our dynamic team. This role is crucial for driving data modernization and migration initiatives, leveraging advanced data asset development skills to enhance our data capabilities.

This position offers a fantastic opportunity to work on cutting-edge data projects in a collaborative environment. You will be instrumental in shaping and implementing robust data solutions.

Design and implement scalable data pipelines using PySpark and Spark. Develop and maintain data models utilizing star and snowflake schema principles. Proficiently use Databricks notebooks and Unity Catalog for data management and governance. Apply expertise in data architecture, data modelling, and database design to optimize data assets. Utilize Python for scripting and web programming tasks to support data initiatives.

A minimum of 5 years of overall professional experience is required. Candidates must possess strong proficiency in data architecture, data modelling, and database design. Expertise in designing star and snowflake schema-based data models is essential. Demonstrated experience with Python programming for scripting and web development is necessary. Hands-on experience with Databricks notebooks and Unity Catalog is a key requirement. A solid background in building scalable data pipelines using PySpark/Spark is expected. A Bachelor of Engineering (B.E.) or Bachelor of Technology (B.Tech) is required.