Deskripsi Pekerjaan
Join Google's Payments team as a Senior Data Engineer and revolutionize how data drives financial innovation. You'll architect cutting-edge AI-powered data workflows and automations that power product analytics for Google's global payment ecosystem. This role sits at the intersection of data engineering, machine learning, and fintech innovation, enabling data-driven decisions that impact millions of users worldwide.
Your expertise will transform complex payment data into actionable insights, ensuring our systems remain scalable, secure, and performant at global scale. You'll collaborate with cross-functional teams to build robust data pipelines that support real-time fraud detection, transaction analytics, and personalized user experiences. At Google, you'll work with state-of-the-art technologies including BigQuery, TensorFlow, and distributed computing frameworks to solve some of the most challenging data problems in fintech.
This position offers unparalleled opportunities to shape the future of digital payments while developing your career in one of the world's most innovative data environments. If you're passionate about leveraging data to transform financial services, this is your chance to make a significant impact.
Tanggung Jawab
- Design, build, and maintain scalable data pipelines for payment product analytics
- Develop AI-powered data workflows and automation solutions
- Optimize data processing for real-time transaction analytics
- Ensure data quality, integrity, and security across payment systems
- Collaborate with data scientists to implement ML models for payment insights
- Architect cloud-based data solutions using Google Cloud Platform
- Lead data infrastructure improvements for payment innovation initiatives
Kualifikasi
- Bachelor's degree in Computer Science, Engineering, or related field (Master's preferred)
- 5+ years experience in data engineering with payment/fintech exposure
- Expertise in Python, SQL, and distributed data processing frameworks
- Strong background in ETL/ELT processes and data warehousing
- Experience with cloud platforms (GCP/AWS/Azure) and big data technologies
- Knowledge of machine learning applications in data engineering
- Proven ability to design scalable data solutions for high-volume systems