Join our team as a Data Asset Developer, focusing on Data Modernization & Migration. This role is crucial for enhancing our data capabilities and driving innovation in how we manage and utilize data assets. You will be instrumental in developing robust data solutions within a dynamic engineering environment.

This position offers a fantastic opportunity to leverage your expertise in cutting-edge data technologies. Contribute to significant data projects and shape the future of data infrastructure.

Design and implement scalable data pipelines using PySpark and Spark. Develop and maintain data models, including star and snowflake schemas, to support analytical needs. Utilize Databricks notebooks and Unity Catalog for efficient data management and collaboration. Write Python scripts for data processing and automation. Ensure data architecture and database design align with project goals and best practices.

We are seeking a professional with over 3 years of comprehensive experience in data engineering and development. A strong foundation in data architecture, data modeling, and database design is essential. Proficiency in Python programming for scripting and web development is required. Hands-on experience with Databricks notebooks and Unity Catalog is a must. Demonstrated expertise in building scalable data pipelines with PySpark/Spark is key. A Bachelor's degree in Engineering (B.E/B.Tech) is required.