Google's Connected Data and Analytics (CDNA) team is seeking a Technical Lead for their Data Engineering Solutions team. This role is part of the Enterprise Data and Engineering division, responsible for Data Architecture, Data Engineering, and Reporting and Analytics technologies. The position requires a seasoned professional with 5+ years of experience in data management leadership and expertise in data pipeline frameworks, database engines, and distributed systems.
The ideal candidate will lead critical projects delivering data management and analytical solutions across Google, working with cutting-edge technologies and frameworks. You'll be responsible for creating and maintaining database designs, ensuring data integrity and security, and implementing solutions that improve internal business processes.
This role offers the opportunity to work at the heart of Google's corporate engineering team (Corp Eng), building world-leading business solutions that scale Google's operations. You'll be part of the team that essentially runs 'Google for Googlers,' developing and maintaining the critical data infrastructure that powers Google's internal operations.
Key technical requirements include proficiency in Java or Python programming, extensive experience with SQL and data pipeline frameworks, and knowledge of distributed databases. The role also demands experience with advanced analytics solutions involving machine learning and statistical analytics, making it perfect for those who want to work at the intersection of data engineering and advanced analytics.
Working at Google's Hyderabad office, you'll be part of a global team that pushes the boundaries of technology while maintaining the highest standards of development practices. This is an excellent opportunity for a data engineering leader who wants to make a significant impact on how Google operates internally while working with some of the most advanced data technologies in the industry.