As a Data Engineer, you will architect, build, and maintain robust data solutions for data generation, collection, and processing.

Your core responsibilities include developing efficient data pipelines, ensuring high data quality, and implementing ETL processes for seamless data migration and deployment across systems.

This role requires active participation in team discussions and contributing to problem-solving, aiming to become a subject matter expert.

- Design, develop, and maintain data solutions for data generation, collection, and processing. - Create and optimize data pipelines, ensuring data integrity and quality. - Implement ETL processes for effective data migration and deployment across systems. - Collaborate with cross-functional teams to define and implement data requirements. - Monitor and enhance data pipeline performance and reliability. - Document data processes and workflows for knowledge sharing.

A minimum of 3 years of hands-on experience with the Databricks Unified Data Analytics Platform is essential.

Proficiency in Python, Data Engineering principles, and Business Intelligence (BI) Reporting Tools is highly valued.

This position is based at the client's onsite location in India and requires 15 years of full-time education.