Join a leading Technology & Transformation practice focused on unlocking the power of vast data assets. We guide companies in managing diverse data sources, transforming them into actionable insights for informed decision-making and competitive advantage. Our expertise spans business intelligence, data management, performance management, and cutting-edge analytics including big data, cloud, cognitive, and machine learning.

This role is integral to building and managing robust data solutions.

Develop and design scalable data architectures, data models, and database structures. Implement star and snowflake schema designs for optimal data warehousing. Create efficient data pipelines using PySpark and Spark. Utilize Databricks notebooks and Unity Catalog for data management and processing. Write Python scripts for various programming needs.

Ensure data integrity and optimize data flow for complex analytical requirements.

A minimum of 3 years of comprehensive experience in data engineering and related fields. Demonstrated proficiency in data architecture, data modeling, and database design principles. Experience with star and snowflake schema data models is essential. Strong programming skills in Python for scripting and web development.

Hands-on experience with Databricks notebooks and Unity Catalog is required. Proven ability to build scalable data pipelines utilizing PySpark and Spark. A Bachelor's degree in Engineering or Technology is necessary for this position.