Join our dynamic team as a Data Asset Developer, a pivotal role focused on modernizing and migrating data assets. This position leverages cutting-edge technologies to transform our data landscape. We are seeking an experienced professional to contribute to significant data initiatives.

This role is central to our data modernization and migration efforts, requiring a blend of technical expertise and strategic thinking. You will be instrumental in shaping the future of our data infrastructure.

Design and implement robust data models, adhering to star and snowflake schema principles. Develop and maintain scalable data pipelines using PySpark and Spark. Utilize Databricks notebooks and Unity Catalog for efficient data management and processing. Contribute to data architecture and database design, ensuring optimal performance and scalability.

Key responsibilities include building efficient data solutions, ensuring data integrity, and collaborating with cross-functional teams to achieve modernization goals. You will be a key player in enhancing our data capabilities.

A minimum of 7 years of comprehensive experience in data-related fields is essential. Demonstrated proficiency in data architecture, data modeling, and database design is required. Expertise in Python programming for scripting and web development is crucial.

Hands-on experience with Databricks notebooks and Unity Catalog is a must. Strong background in constructing scalable data pipelines with PySpark/Spark is expected. A Bachelor's degree in Engineering (B.E./B.Tech) is a prerequisite for this position.